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CHECK report for CellNOptR on tokay2

This page was generated on 2018-10-17 08:35:52 -0400 (Wed, 17 Oct 2018).

Package 205/1561HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
CellNOptR 1.26.0
A.Gabor
Snapshot Date: 2018-10-15 16:45:08 -0400 (Mon, 15 Oct 2018)
URL: https://git.bioconductor.org/packages/CellNOptR
Branch: RELEASE_3_7
Last Commit: c38a8b3
Last Changed Date: 2018-04-30 10:35:22 -0400 (Mon, 30 Apr 2018)
malbec2 Linux (Ubuntu 16.04.1 LTS) / x86_64  OK  OK  WARNINGS UNNEEDED, same version exists in internal repository
tokay2 Windows Server 2012 R2 Standard / x64  OK  OK [ WARNINGS ] OK UNNEEDED, same version exists in internal repository
merida2 OS X 10.11.6 El Capitan / x86_64  OK  OK  WARNINGS  OK UNNEEDED, same version exists in internal repository

Summary

Package: CellNOptR
Version: 1.26.0
Command: C:\Users\biocbuild\bbs-3.7-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:CellNOptR.install-out.txt --library=C:\Users\biocbuild\bbs-3.7-bioc\R\library --no-vignettes --timings CellNOptR_1.26.0.tar.gz
StartedAt: 2018-10-17 00:58:57 -0400 (Wed, 17 Oct 2018)
EndedAt: 2018-10-17 01:01:59 -0400 (Wed, 17 Oct 2018)
EllapsedTime: 181.8 seconds
RetCode: 0
Status:  WARNINGS  
CheckDir: CellNOptR.Rcheck
Warnings: 2

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   C:\Users\biocbuild\bbs-3.7-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:CellNOptR.install-out.txt --library=C:\Users\biocbuild\bbs-3.7-bioc\R\library --no-vignettes --timings CellNOptR_1.26.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory 'C:/Users/biocbuild/bbs-3.7-bioc/meat/CellNOptR.Rcheck'
* using R version 3.5.1 Patched (2018-07-24 r75005)
* using platform: x86_64-w64-mingw32 (64-bit)
* using session charset: ISO8859-1
* using option '--no-vignettes'
* checking for file 'CellNOptR/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'CellNOptR' version '1.26.0'
* checking package namespace information ... OK
* checking package dependencies ... NOTE
Depends: includes the non-default packages:
  'RBGL' 'graph' 'hash' 'RCurl' 'Rgraphviz' 'XML' 'ggplot2'
Adding so many packages to the search path is excessive and importing
selectively is preferable.
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'CellNOptR' can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking 'build' directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* loading checks for arch 'i386'
** checking whether the package can be loaded ... OK
** checking whether the package can be loaded with stated dependencies ... OK
** checking whether the package can be unloaded cleanly ... OK
** checking whether the namespace can be loaded with stated dependencies ... OK
** checking whether the namespace can be unloaded cleanly ... OK
* loading checks for arch 'x64'
** checking whether the package can be loaded ... OK
** checking whether the package can be loaded with stated dependencies ... OK
** checking whether the package can be unloaded cleanly ... OK
** checking whether the namespace can be loaded with stated dependencies ... OK
** checking whether the namespace can be unloaded cleanly ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of 'data' directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking line endings in Makefiles ... OK
* checking compilation flags in Makevars ... OK
* checking for GNU extensions in Makefiles ... OK
* checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK
* checking compiled code ... NOTE
Note: information on .o files for i386 is not available
Note: information on .o files for x64 is not available
File 'C:/Users/biocbuild/bbs-3.7-bioc/R/library/CellNOptR/libs/i386/CellNOptR.dll':
  Found 'abort', possibly from 'abort' (C), 'runtime' (Fortran)

Compiled code should not call entry points which might terminate R nor
write to stdout/stderr instead of to the console, nor use Fortran I/O
nor system RNGs. The detected symbols are linked into the code but
might come from libraries and not actually be called.

See 'Writing portable packages' in the 'Writing R Extensions' manual.
* checking installed files from 'inst/doc' ... NOTE
The following files should probably not be installed:
  'Fig1.png', 'Fig5.png'

Consider the use of a .Rinstignore file: see 'Writing R Extensions',
or move the vignette sources from 'inst/doc' to 'vignettes'.
* checking files in 'vignettes' ... OK
* checking examples ...
** running examples for arch 'i386' ... WARNING
Found the following significant warnings:
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/RtmpQr5Xpb', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/RtmpQr5Xpb', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/RtmpQr5Xpb', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/RtmpQr5Xpb', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/RtmpQr5Xpb', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/RtmpQr5Xpb', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/RtmpQr5Xpb', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/RtmpQr5Xpb', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/RtmpQr5Xpb', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/RtmpQr5Xpb', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/RtmpQr5Xpb', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/RtmpQr5Xpb', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/RtmpQr5Xpb', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/RtmpQr5Xpb', resetting
** running examples for arch 'x64' ... WARNING
Found the following significant warnings:
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmp0QNZo8', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmp0QNZo8', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmp0QNZo8', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmp0QNZo8', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmp0QNZo8', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmp0QNZo8', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmp0QNZo8', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmp0QNZo8', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmp0QNZo8', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmp0QNZo8', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmp0QNZo8', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmp0QNZo8', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmp0QNZo8', resetting
  Warning: working directory was changed to 'C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmp0QNZo8', resetting
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
** running tests for arch 'i386' ...
  Running 'test_gaBinaryT1.R'
  Running 'test_gaBinaryT2.R'
  Running 'test_gaBinaryT3.R'
  Running 'test_manySteadyStates.R'
  Running 'test_priorBitString.R'
  Running 'test_simulateTN.R'
 OK
** running tests for arch 'x64' ...
  Running 'test_gaBinaryT1.R'
  Running 'test_gaBinaryT2.R'
  Running 'test_gaBinaryT3.R'
  Running 'test_manySteadyStates.R'
  Running 'test_priorBitString.R'
  Running 'test_simulateTN.R'
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in 'inst/doc' ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 2 WARNINGs, 3 NOTEs
See
  'C:/Users/biocbuild/bbs-3.7-bioc/meat/CellNOptR.Rcheck/00check.log'
for details.



Installation output

CellNOptR.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   C:\cygwin\bin\curl.exe -O https://malbec2.bioconductor.org/BBS/3.7/bioc/src/contrib/CellNOptR_1.26.0.tar.gz && rm -rf CellNOptR.buildbin-libdir && mkdir CellNOptR.buildbin-libdir && C:\Users\biocbuild\bbs-3.7-bioc\R\bin\R.exe CMD INSTALL --merge-multiarch --build --library=CellNOptR.buildbin-libdir CellNOptR_1.26.0.tar.gz && C:\Users\biocbuild\bbs-3.7-bioc\R\bin\R.exe CMD INSTALL CellNOptR_1.26.0.zip && rm CellNOptR_1.26.0.tar.gz CellNOptR_1.26.0.zip
###
##############################################################################
##############################################################################


  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed

  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
100 1838k  100 1838k    0     0  23.1M      0 --:--:-- --:--:-- --:--:-- 25.2M

install for i386

* installing *source* package 'CellNOptR' ...
** libs
C:/Rtools/mingw_32/bin/gcc  -I"C:/Users/BIOCBU˜1/BBS-3˜1.7-B/R/include" -DNDEBUG     -I"C:/extsoft/include"  -I./include    -O3 -Wall  -std=gnu99 -mtune=generic -c getFit.c -o getFit.o
getFit.c: In function 'getFit':
getFit.c:47:6: warning: unused variable 'nReacs' [-Wunused-variable]
  int nReacs = INTEGER(nReacs_in)[0];
      ^
getFit.c:42:6: warning: unused variable 'selCounter' [-Wunused-variable]
  int selCounter = 0;
      ^
getFit.c:41:6: warning: unused variable 'selection' [-Wunused-variable]
  int selection[40];
      ^
getFit.c:40:6: warning: unused variable 'or_max' [-Wunused-variable]
  int or_max = 0;
      ^
getFit.c:39:6: warning: unused variable 'curr_max' [-Wunused-variable]
  int curr_max = 0;
      ^
C:/Rtools/mingw_32/bin/gcc  -I"C:/Users/BIOCBU˜1/BBS-3˜1.7-B/R/include" -DNDEBUG     -I"C:/extsoft/include"  -I./include    -O3 -Wall  -std=gnu99 -mtune=generic -c simulatorT1.c -o simulatorT1.o
C:/Rtools/mingw_32/bin/gcc  -I"C:/Users/BIOCBU˜1/BBS-3˜1.7-B/R/include" -DNDEBUG     -I"C:/extsoft/include"  -I./include    -O3 -Wall  -std=gnu99 -mtune=generic -c simulatorTN.c -o simulatorTN.o
C:/Rtools/mingw_32/bin/gcc -shared -s -static-libgcc -o CellNOptR.dll tmp.def getFit.o simulatorT1.o simulatorTN.o -LC:/extsoft/lib/i386 -LC:/extsoft/lib -LC:/Users/BIOCBU˜1/BBS-3˜1.7-B/R/bin/i386 -lR
installing to C:/Users/biocbuild/bbs-3.7-bioc/meat/CellNOptR.buildbin-libdir/CellNOptR/libs/i386
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package 'CellNOptR'
    finding HTML links ... done
    CNORbool                                html  
    CNORwrap                                html  
    CNOdata                                 html  
    CNOlist-class                           html  
    CNOlist-methods                         html  
    CNOlistDREAM                            html  
    CNOlistToy                              html  
    CNOlistToy2                             html  
    CNOlistToyMMB                           html  
    CellNOptR-package                       html  
    DreamModel                              html  
    ToyModel                                html  
    ToyModel2                               html  
    buildBitString                          html  
    cSimulator                              html  
    checkSignals                            html  
    compressModel                           html  
    computeScoreT1                          html  
    computeScoreTN                          html  
    crossInhibitedData                      html  
    cutAndPlot                              html  
    cutAndPlotResultsT1                     html  
    cutAndPlotResultsTN                     html  
    cutCNOlist                              html  
    cutModel                                html  
    cutNONC                                 html  
    cutSimList                              html  
    defaultParameters                       html  
    exhaustive                              html  
    expandGates                             html  
    findNONC                                html  
    gaBinaryT1                              html  
    gaBinaryT2                              html  
    gaBinaryTN                              html  
    getFit                                  html  
    graph2sif                               html  
    indexFinder                             html  
    internals                               html  
    makeCNOlist                             html  
    mapBack                                 html  
    model2igraph                            html  
    model2sif                               html  
    normaliseCNOlist                        html  
    plot-methods                            html  
    plotCNOlist                             html  
    plotCNOlist2                            html  
    plotCNOlistLarge                        html  
    plotCNOlistLargePDF                     html  
    plotCNOlistPDF                          html  
    plotFit                                 html  
    plotModel                               html  
    plotOptimResults                        html  
    plotOptimResultsPDF                     html  
    plotOptimResultsPan                     html  
    prep4sim                                html  
    preprocessing                           html  
    randomizeCNOlist                        html  
    readMIDAS                               html  
    readSBMLQual                            html  
    readSIF                                 html  
    residualError                           html  
    sif2graph                               html  
    simulateT1                              html  
    simulateTN                              html  
    simulatorT0                             html  
    simulatorT1                             html  
    simulatorT2                             html  
    simulatorTN                             html  
    toSBML                                  html  
    writeDot                                html  
    writeMIDAS                              html  
    writeNetwork                            html  
    writeReport                             html  
    writeSIF                                html  
    writeScaffold                           html  
** building package indices
** installing vignettes
   'CellNOptR-vignette.Rnw' 
** testing if installed package can be loaded
In R CMD INSTALL

install for x64

* installing *source* package 'CellNOptR' ...
** libs
C:/Rtools/mingw_64/bin/gcc  -I"C:/Users/BIOCBU˜1/BBS-3˜1.7-B/R/include" -DNDEBUG     -I"C:/extsoft/include"  -I./include    -O2 -Wall  -std=gnu99 -mtune=generic -c getFit.c -o getFit.o
getFit.c: In function 'getFit':
getFit.c:47:6: warning: unused variable 'nReacs' [-Wunused-variable]
  int nReacs = INTEGER(nReacs_in)[0];
      ^
getFit.c:42:6: warning: unused variable 'selCounter' [-Wunused-variable]
  int selCounter = 0;
      ^
getFit.c:41:6: warning: unused variable 'selection' [-Wunused-variable]
  int selection[40];
      ^
getFit.c:40:6: warning: unused variable 'or_max' [-Wunused-variable]
  int or_max = 0;
      ^
getFit.c:39:6: warning: unused variable 'curr_max' [-Wunused-variable]
  int curr_max = 0;
      ^
C:/Rtools/mingw_64/bin/gcc  -I"C:/Users/BIOCBU˜1/BBS-3˜1.7-B/R/include" -DNDEBUG     -I"C:/extsoft/include"  -I./include    -O2 -Wall  -std=gnu99 -mtune=generic -c simulatorT1.c -o simulatorT1.o
C:/Rtools/mingw_64/bin/gcc  -I"C:/Users/BIOCBU˜1/BBS-3˜1.7-B/R/include" -DNDEBUG     -I"C:/extsoft/include"  -I./include    -O2 -Wall  -std=gnu99 -mtune=generic -c simulatorTN.c -o simulatorTN.o
C:/Rtools/mingw_64/bin/gcc -shared -s -static-libgcc -o CellNOptR.dll tmp.def getFit.o simulatorT1.o simulatorTN.o -LC:/extsoft/lib/x64 -LC:/extsoft/lib -LC:/Users/BIOCBU˜1/BBS-3˜1.7-B/R/bin/x64 -lR
installing to C:/Users/biocbuild/bbs-3.7-bioc/meat/CellNOptR.buildbin-libdir/CellNOptR/libs/x64
** testing if installed package can be loaded
* MD5 sums
packaged installation of 'CellNOptR' as CellNOptR_1.26.0.zip
* DONE (CellNOptR)
In R CMD INSTALL
In R CMD INSTALL
* installing to library 'C:/Users/biocbuild/bbs-3.7-bioc/R/library'
package 'CellNOptR' successfully unpacked and MD5 sums checked
In R CMD INSTALL

Tests output

CellNOptR.Rcheck/tests_i386/test_gaBinaryT1.Rout


R version 3.5.1 Patched (2018-07-24 r75005) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

Loading required package: hash
hash-2.2.6 provided by Decision Patterns

Loading required package: RCurl
Loading required package: bitops
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # read data
> pknmodel = readSIF(system.file("ToyModel/ToyPKNMMB.sif", package="CellNOptR"))
> data = readMIDAS(system.file("ToyModel/ToyDataMMB.csv", package="CellNOptR"))
[1] "Your data set comprises  18 conditions (i.e. combinations of time point and treatment)"
[1] "Your data set comprises measurements on  7  different species"
[1] "Your data set comprises  4 stimuli/inhibitors and 1 cell line(s) ( mock )"
[1] "Please be aware that CNO only handles measurements on one cell line at this time."
[1] "Your data file contained 'NaN'. We have assumed that these were missing values and replaced them by NAs."
> cnolist = makeCNOlist(data, subfield=FALSE)
[1] "Please be aware that if you only have some conditions at time zero (e.g.only inhibitor/no inhibitor), the measurements for these conditions will be copied across matching conditions at t=0"
> 
> # preprocessing
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> 
> # optimisation
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> 
> truebs =c(1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0)
> print(truebs)
 [1] 1 1 0 1 1 0 1 1 0 0 1 1 1 0 0 0
> print(T1opt$bString)
 [1] 1 1 0 1 1 0 1 1 0 0 1 1 1 0 0 0
> 
> # testing valid output
> if (dist(rbind(T1opt$bString, truebs))>2){
+ stop("something wrong going on")
+ }
> 
> # extra call to simulateTN
> SimT1<-simulateTN(CNOlist=cnolist,model=model, bStrings=list(truebs))
> 
> 
> proc.time()
   user  system elapsed 
   3.04    0.21    3.23 

CellNOptR.Rcheck/tests_x64/test_gaBinaryT1.Rout


R version 3.5.1 Patched (2018-07-24 r75005) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

Loading required package: hash
hash-2.2.6 provided by Decision Patterns

Loading required package: RCurl
Loading required package: bitops
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # read data
> pknmodel = readSIF(system.file("ToyModel/ToyPKNMMB.sif", package="CellNOptR"))
> data = readMIDAS(system.file("ToyModel/ToyDataMMB.csv", package="CellNOptR"))
[1] "Your data set comprises  18 conditions (i.e. combinations of time point and treatment)"
[1] "Your data set comprises measurements on  7  different species"
[1] "Your data set comprises  4 stimuli/inhibitors and 1 cell line(s) ( mock )"
[1] "Please be aware that CNO only handles measurements on one cell line at this time."
[1] "Your data file contained 'NaN'. We have assumed that these were missing values and replaced them by NAs."
> cnolist = makeCNOlist(data, subfield=FALSE)
[1] "Please be aware that if you only have some conditions at time zero (e.g.only inhibitor/no inhibitor), the measurements for these conditions will be copied across matching conditions at t=0"
> 
> # preprocessing
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> 
> # optimisation
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> 
> truebs =c(1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0)
> print(truebs)
 [1] 1 1 0 1 1 0 1 1 0 0 1 1 1 0 0 0
> print(T1opt$bString)
 [1] 1 1 0 1 1 0 1 1 0 0 1 1 1 0 0 0
> 
> # testing valid output
> if (dist(rbind(T1opt$bString, truebs))>2){
+ stop("something wrong going on")
+ }
> 
> # extra call to simulateTN
> SimT1<-simulateTN(CNOlist=cnolist,model=model, bStrings=list(truebs))
> 
> 
> proc.time()
   user  system elapsed 
   4.23    0.09    4.32 

CellNOptR.Rcheck/tests_i386/test_gaBinaryT2.Rout


R version 3.5.1 Patched (2018-07-24 r75005) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> # 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

Loading required package: hash
hash-2.2.6 provided by Decision Patterns

Loading required package: RCurl
Loading required package: bitops
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> data(CNOlistToy2, package="CellNOptR")
> data(ToyModel2, package="CellNOptR")
> cnolist = CNOlistToy2
> pknmodel = ToyModel2
> 
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> print(T1opt$bString)
 [1] 1 1 1 1 1 0 1 1 0 0 1 1 1 1 0 0 0 0
> 
> truebs = c(1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0)
> 
> 
> T2opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(truebs),verbose=FALSE)
> truebs2 = c(0, 0, 0, 1, 0, 0, 0)
> 
> print(T2opt$bString)
[1] 0 0 0 1 0 0 0
> 
> proc.time()
   user  system elapsed 
   4.45    0.21    4.65 

CellNOptR.Rcheck/tests_x64/test_gaBinaryT2.Rout


R version 3.5.1 Patched (2018-07-24 r75005) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> # 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

Loading required package: hash
hash-2.2.6 provided by Decision Patterns

Loading required package: RCurl
Loading required package: bitops
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> data(CNOlistToy2, package="CellNOptR")
> data(ToyModel2, package="CellNOptR")
> cnolist = CNOlistToy2
> pknmodel = ToyModel2
> 
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> print(T1opt$bString)
 [1] 1 1 1 1 1 0 1 1 0 0 1 1 1 1 0 0 0 0
> 
> truebs = c(1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0)
> 
> 
> T2opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(truebs),verbose=FALSE)
> truebs2 = c(0, 0, 0, 1, 0, 0, 0)
> 
> print(T2opt$bString)
[1] 0 0 0 1 0 0 0
> 
> proc.time()
   user  system elapsed 
   4.64    0.09    4.73 

CellNOptR.Rcheck/tests_i386/test_gaBinaryT3.Rout


R version 3.5.1 Patched (2018-07-24 r75005) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> # 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

Loading required package: hash
hash-2.2.6 provided by Decision Patterns

Loading required package: RCurl
Loading required package: bitops
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> pknmodel = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv", package="CellNOptR"))
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> 
> # expected values
> bestBS = c(1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0,0)
> bestBS2 <- c(0,0,0,0,0,0,1)
> bestBS3 <- c(0,0,1,0,0,0)
> 
> # just to check that the simulateTN function works 
> SimT1<-simulateTN(CNOlist=cnolist, model=model, bString=list(bestBS))
> SimT2<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS,bestBS2))
> SimT3<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2, bestBS3))
> 
> 
> # again, just to check that gaBinary works
> # run T1 first, 
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> # run T2
> T2opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(T1opt$bString),verbose=FALSE)
> # run T3
> T3opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(bestBS, bestBS2),verbose=FALSE)
> 
> print( T1opt$bScore)
             
4.545455e-05 
> print( T2opt$bScore)
[1] 5.454545e-05
> print( T3opt$bScore)
[1] 6.363636e-05
> # no using the hardcoded parameters, we can check the output of te scores that
> # must be tiny.
> score1 = computeScoreT1(cnolist, model, bString=bestBS)
> score2 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2))
> score3 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2, bestBS3))
> 
> 
> print(score1)
[1] 4.545455e-05
> print(score2)
[1] 5.454545e-05
> print(score3)
[1] 6.363636e-05
> if (score1>0.01 || score2>0.24 || score3>0.1){
+    # ideally, the score should all be close to 0. In practice, it's about 1e-5
+    # However, in the  T3 case, once in while, the score is 0.0953 hence the
+    # score3>0.1
+    stop("errore")
+ }
> cutAndPlot(cnolist, model,bStrings=list(bestBS),plotPDF=TRUE, tag="test1")
$filenames
$filenames[[1]]
[1] "test1_SimResultsT1_1_.pdf"


$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults
$simResults[[1]]
$simResults[[1]]$t0
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[1]]$t1
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0



> cutAndPlot(cnolist, model,bStrings=list(bestBS,bestBS2),plotPDF=TRUE, tag="test2")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0


> cutAndPlot(cnolist, model, bStrings=list(bestBS,bestBS2,bestBS3),plotPDF=TRUE, tag="test3")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0

$simResults[[4]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1    1    0    0    0
[2,]    0    0    0    1    0    1
[3,]    0    1    1    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    1    0    1
[6,]    0    0    0    1    0    1
[7,]    0    0    0    0    0    0


> 
> 
> 
> warnings()
> 
> proc.time()
   user  system elapsed 
   7.01    0.14    7.14 

CellNOptR.Rcheck/tests_x64/test_gaBinaryT3.Rout


R version 3.5.1 Patched (2018-07-24 r75005) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> # 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

Loading required package: hash
hash-2.2.6 provided by Decision Patterns

Loading required package: RCurl
Loading required package: bitops
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> pknmodel = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv", package="CellNOptR"))
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> 
> # expected values
> bestBS = c(1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0,0)
> bestBS2 <- c(0,0,0,0,0,0,1)
> bestBS3 <- c(0,0,1,0,0,0)
> 
> # just to check that the simulateTN function works 
> SimT1<-simulateTN(CNOlist=cnolist, model=model, bString=list(bestBS))
> SimT2<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS,bestBS2))
> SimT3<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2, bestBS3))
> 
> 
> # again, just to check that gaBinary works
> # run T1 first, 
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> # run T2
> T2opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(T1opt$bString),verbose=FALSE)
> # run T3
> T3opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(bestBS, bestBS2),verbose=FALSE)
> 
> print( T1opt$bScore)
             
4.545455e-05 
> print( T2opt$bScore)
[1] 5.454545e-05
> print( T3opt$bScore)
[1] 6.363636e-05
> # no using the hardcoded parameters, we can check the output of te scores that
> # must be tiny.
> score1 = computeScoreT1(cnolist, model, bString=bestBS)
> score2 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2))
> score3 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2, bestBS3))
> 
> 
> print(score1)
[1] 4.545455e-05
> print(score2)
[1] 5.454545e-05
> print(score3)
[1] 6.363636e-05
> if (score1>0.01 || score2>0.24 || score3>0.1){
+    # ideally, the score should all be close to 0. In practice, it's about 1e-5
+    # However, in the  T3 case, once in while, the score is 0.0953 hence the
+    # score3>0.1
+    stop("errore")
+ }
> cutAndPlot(cnolist, model,bStrings=list(bestBS),plotPDF=TRUE, tag="test1")
$filenames
$filenames[[1]]
[1] "test1_SimResultsT1_1_.pdf"


$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults
$simResults[[1]]
$simResults[[1]]$t0
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[1]]$t1
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0



> cutAndPlot(cnolist, model,bStrings=list(bestBS,bestBS2),plotPDF=TRUE, tag="test2")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0


> cutAndPlot(cnolist, model, bStrings=list(bestBS,bestBS2,bestBS3),plotPDF=TRUE, tag="test3")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0

$simResults[[4]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1    1    0    0    0
[2,]    0    0    0    1    0    1
[3,]    0    1    1    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    1    0    1
[6,]    0    0    0    1    0    1
[7,]    0    0    0    0    0    0


> 
> 
> 
> warnings()
> 
> proc.time()
   user  system elapsed 
   5.09    0.12    5.20 

CellNOptR.Rcheck/tests_i386/test_manySteadyStates.Rout


R version 3.5.1 Patched (2018-07-24 r75005) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> 
> # This test runs optimisation using Boolean logic at different time points
> # Author: S.Schrier, T.Cokelaer
> 
> 
> 
> manySteadyStates <-function(
+   CNOlist,
+   model,
+   sizeFac=0.0001,
+   NAFac=1,
+   popSize=50,
+   pMutation=0.5,
+   maxTime=60,
+   maxGens=500,
+   stallGenMax=100,
+   selPress=1.2,
+   elitism=5,
+   relTol=0.1,
+   verbose=FALSE,
+   priorBitString=NULL){
+ 
+ 
+     #initialize Opt array
+     Opt<-list()    
+     #initialze a bString array  
+     bStrings<-list()
+     simRes<-list()
+ 
+ 
+     T1opt<-gaBinaryT1(CNOlist=CNOlist,
+                   model=model,
+                   stallGenMax=stallGenMax,
+                   sizeFac=sizeFac,
+                   NAFac=NAFac,
+                   popSize=popSize,
+                   pMutation=pMutation,
+                   maxTime=maxTime,
+                   maxGens=maxGens,
+                   selPress=selPress,
+                   elitism=elitism,
+                   relTol=relTol,
+                   verbose=verbose,
+                   priorBitString=priorBitString)
+ 
+     Opt[[1]]<-T1opt
+     simT1<-simulateTN(CNOlist=CNOlist, model=model, bStrings=list(T1opt$bString))
+     simRes[[1]]<-simT1
+     bStrings[[1]] = T1opt$bString
+ 
+     if (length(CNOlist@signals)>2){
+         for(i in 3:length(CNOlist@signals)){
+             Opt[[i-1]]<-gaBinaryTN(CNOlist=CNOlist,
+                         model=model,
+                         bStrings=bStrings,
+                         stallGenMax=stallGenMax,
+                         maxTime=maxTime,
+                         sizeFac=sizeFac,
+                         NAFac=NAFac,
+                         popSize=popSize,
+                         pMutation=pMutation,
+                         maxGens=maxGens,
+                         selPress=selPress,
+                         elitism=elitism,
+                         relTol=relTol,
+                         verbose=verbose,
+                         priorBitString=priorBitString)
+ 
+             bStrings[[i-1]] = Opt[[i-1]]$bString
+ 
+             simRes[[i]]<-simulateTN(CNOlist,model,bStrings)
+         }
+     }   
+     return(list(bStrings=bStrings, Opt=Opt, simRes=simRes))
+ }
> 
> 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

Loading required package: hash
hash-2.2.6 provided by Decision Patterns

Loading required package: RCurl
Loading required package: bitops
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # one steady state
> data(CNOlistToy, package="CellNOptR")
> cnolist = CNOlist(CNOlistToy)
> data(ToyModel, package="CellNOptR")
> results = manySteadyStates(cnolist, ToyModel)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 0

> 
> # two steady state
> data(CNOlistToy2, package="CellNOptR")
> cnolist = CNOlist(CNOlistToy2)
> data(ToyModel2, package="CellNOptR")
> results = manySteadyStates(cnolist, ToyModel2)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0

[[2]]
[1] 0 0 1

> 
> # 3 steady state
> ToyModel3 = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv", package="CellNOptR"))
> results = manySteadyStates(cnolist, ToyModel3)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 0

[[2]]
[1] 0 0 0

[[3]]
[1] 0 0 0

> 
> 
> 
> proc.time()
   user  system elapsed 
   9.10    0.15    9.23 

CellNOptR.Rcheck/tests_x64/test_manySteadyStates.Rout


R version 3.5.1 Patched (2018-07-24 r75005) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> 
> # This test runs optimisation using Boolean logic at different time points
> # Author: S.Schrier, T.Cokelaer
> 
> 
> 
> manySteadyStates <-function(
+   CNOlist,
+   model,
+   sizeFac=0.0001,
+   NAFac=1,
+   popSize=50,
+   pMutation=0.5,
+   maxTime=60,
+   maxGens=500,
+   stallGenMax=100,
+   selPress=1.2,
+   elitism=5,
+   relTol=0.1,
+   verbose=FALSE,
+   priorBitString=NULL){
+ 
+ 
+     #initialize Opt array
+     Opt<-list()    
+     #initialze a bString array  
+     bStrings<-list()
+     simRes<-list()
+ 
+ 
+     T1opt<-gaBinaryT1(CNOlist=CNOlist,
+                   model=model,
+                   stallGenMax=stallGenMax,
+                   sizeFac=sizeFac,
+                   NAFac=NAFac,
+                   popSize=popSize,
+                   pMutation=pMutation,
+                   maxTime=maxTime,
+                   maxGens=maxGens,
+                   selPress=selPress,
+                   elitism=elitism,
+                   relTol=relTol,
+                   verbose=verbose,
+                   priorBitString=priorBitString)
+ 
+     Opt[[1]]<-T1opt
+     simT1<-simulateTN(CNOlist=CNOlist, model=model, bStrings=list(T1opt$bString))
+     simRes[[1]]<-simT1
+     bStrings[[1]] = T1opt$bString
+ 
+     if (length(CNOlist@signals)>2){
+         for(i in 3:length(CNOlist@signals)){
+             Opt[[i-1]]<-gaBinaryTN(CNOlist=CNOlist,
+                         model=model,
+                         bStrings=bStrings,
+                         stallGenMax=stallGenMax,
+                         maxTime=maxTime,
+                         sizeFac=sizeFac,
+                         NAFac=NAFac,
+                         popSize=popSize,
+                         pMutation=pMutation,
+                         maxGens=maxGens,
+                         selPress=selPress,
+                         elitism=elitism,
+                         relTol=relTol,
+                         verbose=verbose,
+                         priorBitString=priorBitString)
+ 
+             bStrings[[i-1]] = Opt[[i-1]]$bString
+ 
+             simRes[[i]]<-simulateTN(CNOlist,model,bStrings)
+         }
+     }   
+     return(list(bStrings=bStrings, Opt=Opt, simRes=simRes))
+ }
> 
> 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

Loading required package: hash
hash-2.2.6 provided by Decision Patterns

Loading required package: RCurl
Loading required package: bitops
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # one steady state
> data(CNOlistToy, package="CellNOptR")
> cnolist = CNOlist(CNOlistToy)
> data(ToyModel, package="CellNOptR")
> results = manySteadyStates(cnolist, ToyModel)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 0

> 
> # two steady state
> data(CNOlistToy2, package="CellNOptR")
> cnolist = CNOlist(CNOlistToy2)
> data(ToyModel2, package="CellNOptR")
> results = manySteadyStates(cnolist, ToyModel2)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0

[[2]]
[1] 0 0 1

> 
> # 3 steady state
> ToyModel3 = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv", package="CellNOptR"))
> results = manySteadyStates(cnolist, ToyModel3)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 0

[[2]]
[1] 0 0 0

[[3]]
[1] 0 0 0

> 
> 
> 
> proc.time()
   user  system elapsed 
   8.65    0.21    8.86 

CellNOptR.Rcheck/tests_i386/test_priorBitString.Rout


R version 3.5.1 Patched (2018-07-24 r75005) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> # test if the priorBitString is used correctly in gaBinaryT1DO NOT MODIFY please (TC, June 2012)
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

Loading required package: hash
hash-2.2.6 provided by Decision Patterns

Loading required package: RCurl
Loading required package: bitops
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> 
> # Load T1 and T2 data. Only T1 is used here below.
> data(ToyModel, package="CellNOptR")
> data(CNOlistToy, package="CellNOptR")
> cnolist = CNOlistToy
> pknmodel = ToyModel
> 
> # preprocessing
> model = preprocessing(cnolist, pknmodel)
[1] "The following species are measured: Akt, Hsp27, NFkB, Erk, p90RSK, Jnk, cJun"
[1] "The following species are stimulated: EGF, TNFa"
[1] "The following species are inhibited: Raf, PI3K"
[1] "The following species are not observable and/or not controllable: "
> 
> # computeScoreT1 with init string made of ones
> initBstring<-rep(1,length(model$reacID))
> 
> 
> 
> priorBitString = rep(NA, length(model$reacID))
> priorBitString[1] = 0
> priorBitString[2] = 0
> priorBitString[3] = 0
> priorBitString[4] = 0
> 
> # Second, you call the gaBinaryT1 function by providing the priorBitString
> # argument:
> ToyT1opt<-gaBinaryT1(CNOlist=CNOlistToy, model=model,
+     initBstring=initBstring, maxGens=10, popSize=5,
+     verbose=FALSE, priorBitString=priorBitString)
> 
> 
> for (x in ToyT1opt$results[,7]){
+      x = strsplit(x ,",")[[1]]
+      if (as.numeric(x[[1]]) != 0 ){ stop("first element must be 0")}
+      if (as.numeric(x[[2]]) != 0 ){ stop("second element must be 0")}
+      if (as.numeric(x[[3]]) != 0 ){ stop("tirdh element must be 0")}
+      if (as.numeric(x[[4]]) != 0 ){ stop("fourth element must be 0")}
+ }
> 
> 
> 
> proc.time()
   user  system elapsed 
   1.79    0.15    1.93 

CellNOptR.Rcheck/tests_x64/test_priorBitString.Rout


R version 3.5.1 Patched (2018-07-24 r75005) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> # test if the priorBitString is used correctly in gaBinaryT1DO NOT MODIFY please (TC, June 2012)
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

Loading required package: hash
hash-2.2.6 provided by Decision Patterns

Loading required package: RCurl
Loading required package: bitops
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> 
> # Load T1 and T2 data. Only T1 is used here below.
> data(ToyModel, package="CellNOptR")
> data(CNOlistToy, package="CellNOptR")
> cnolist = CNOlistToy
> pknmodel = ToyModel
> 
> # preprocessing
> model = preprocessing(cnolist, pknmodel)
[1] "The following species are measured: Akt, Hsp27, NFkB, Erk, p90RSK, Jnk, cJun"
[1] "The following species are stimulated: EGF, TNFa"
[1] "The following species are inhibited: Raf, PI3K"
[1] "The following species are not observable and/or not controllable: "
> 
> # computeScoreT1 with init string made of ones
> initBstring<-rep(1,length(model$reacID))
> 
> 
> 
> priorBitString = rep(NA, length(model$reacID))
> priorBitString[1] = 0
> priorBitString[2] = 0
> priorBitString[3] = 0
> priorBitString[4] = 0
> 
> # Second, you call the gaBinaryT1 function by providing the priorBitString
> # argument:
> ToyT1opt<-gaBinaryT1(CNOlist=CNOlistToy, model=model,
+     initBstring=initBstring, maxGens=10, popSize=5,
+     verbose=FALSE, priorBitString=priorBitString)
> 
> 
> for (x in ToyT1opt$results[,7]){
+      x = strsplit(x ,",")[[1]]
+      if (as.numeric(x[[1]]) != 0 ){ stop("first element must be 0")}
+      if (as.numeric(x[[2]]) != 0 ){ stop("second element must be 0")}
+      if (as.numeric(x[[3]]) != 0 ){ stop("tirdh element must be 0")}
+      if (as.numeric(x[[4]]) != 0 ){ stop("fourth element must be 0")}
+ }
> 
> 
> 
> proc.time()
   user  system elapsed 
   2.20    0.14    2.32 

CellNOptR.Rcheck/tests_i386/test_simulateTN.Rout


R version 3.5.1 Patched (2018-07-24 r75005) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> # This test runs T3 data set to compute the scores (must be zero), and run
> # cutAndPlot plot on each time points.
> 
> # DO NOT MODIFY please (TC, June 2012)
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

Loading required package: hash
hash-2.2.6 provided by Decision Patterns

Loading required package: RCurl
Loading required package: bitops
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> pknmodel = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv",  package="CellNOptR"))
> 
> model = preprocessing(cnolist, pknmodel)
[1] "The following species are measured: AKT, MEK, ERK, P38, JNK, NFKB"
[1] "The following species are stimulated: TGFa, TNFa"
[1] "The following species are inhibited: PI3K, MEK"
[1] "The following species are not observable and/or not controllable: "
> 
> # computeScoreT1 with init string made of ones
> verbose = FALSE
> initBstring<-rep(1,length(model$reacID))
> score = computeScoreT1(cnolist, model,bString=rep(1,length(model$reacID)))
> bestBS = c(1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0,0)
> bestBS2 <- c(0,0,0,0,0,0,1) # given by running gaBinaryTN
> bestBS3 <- c(0,0,1,0,0,0) # given by running gaBinaryTN
> 
> 
> SimT1<-simulateTN(CNOlist=cnolist, model=model, bString=list(bestBS))
> SimT2<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2))
> SimT3<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2, bestBS3))
> 
> score1 = computeScoreT1(cnolist, model, bString=bestBS)
> score2 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2))
> score3 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2, bestBS3))
> 
> print(score1)
[1] 4.545455e-05
> print(score2)
[1] 5.454545e-05
> print(score3)
[1] 6.363636e-05
> if (score1>0.01 || score2>0.024){
+    stop("errore")
+ }
> cutAndPlot(cnolist, model,bStrings=list(bestBS),plotPDF=TRUE, tag="test1")
$filenames
$filenames[[1]]
[1] "test1_SimResultsT1_1_.pdf"


$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults
$simResults[[1]]
$simResults[[1]]$t0
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[1]]$t1
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0



> cutAndPlot(cnolist, model,bStrings=list(bestBS,bestBS2),plotPDF=TRUE, tag="test2")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0


> cutAndPlot(cnolist, model, bStrings=list(bestBS,bestBS2,bestBS3),plotPDF=TRUE, tag="test3")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0

$simResults[[4]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1    1    0    0    0
[2,]    0    0    0    1    0    1
[3,]    0    1    1    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    1    0    1
[6,]    0    0    0    1    0    1
[7,]    0    0    0    0    0    0


> 
> 
> proc.time()
   user  system elapsed 
   2.92    0.23    3.14 

CellNOptR.Rcheck/tests_x64/test_simulateTN.Rout


R version 3.5.1 Patched (2018-07-24 r75005) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> # This test runs T3 data set to compute the scores (must be zero), and run
> # cutAndPlot plot on each time points.
> 
> # DO NOT MODIFY please (TC, June 2012)
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

Loading required package: hash
hash-2.2.6 provided by Decision Patterns

Loading required package: RCurl
Loading required package: bitops
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> pknmodel = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv",  package="CellNOptR"))
> 
> model = preprocessing(cnolist, pknmodel)
[1] "The following species are measured: AKT, MEK, ERK, P38, JNK, NFKB"
[1] "The following species are stimulated: TGFa, TNFa"
[1] "The following species are inhibited: PI3K, MEK"
[1] "The following species are not observable and/or not controllable: "
> 
> # computeScoreT1 with init string made of ones
> verbose = FALSE
> initBstring<-rep(1,length(model$reacID))
> score = computeScoreT1(cnolist, model,bString=rep(1,length(model$reacID)))
> bestBS = c(1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0,0)
> bestBS2 <- c(0,0,0,0,0,0,1) # given by running gaBinaryTN
> bestBS3 <- c(0,0,1,0,0,0) # given by running gaBinaryTN
> 
> 
> SimT1<-simulateTN(CNOlist=cnolist, model=model, bString=list(bestBS))
> SimT2<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2))
> SimT3<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2, bestBS3))
> 
> score1 = computeScoreT1(cnolist, model, bString=bestBS)
> score2 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2))
> score3 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2, bestBS3))
> 
> print(score1)
[1] 4.545455e-05
> print(score2)
[1] 5.454545e-05
> print(score3)
[1] 6.363636e-05
> if (score1>0.01 || score2>0.024){
+    stop("errore")
+ }
> cutAndPlot(cnolist, model,bStrings=list(bestBS),plotPDF=TRUE, tag="test1")
$filenames
$filenames[[1]]
[1] "test1_SimResultsT1_1_.pdf"


$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults
$simResults[[1]]
$simResults[[1]]$t0
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[1]]$t1
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0



> cutAndPlot(cnolist, model,bStrings=list(bestBS,bestBS2),plotPDF=TRUE, tag="test2")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0


> cutAndPlot(cnolist, model, bStrings=list(bestBS,bestBS2,bestBS3),plotPDF=TRUE, tag="test3")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0

$simResults[[4]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1    1    0    0    0
[2,]    0    0    0    1    0    1
[3,]    0    1    1    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    1    0    1
[6,]    0    0    0    1    0    1
[7,]    0    0    0    0    0    0


> 
> 
> proc.time()
   user  system elapsed 
   2.51    0.21    2.71 

Example timings

CellNOptR.Rcheck/examples_i386/CellNOptR-Ex.timings

nameusersystemelapsed
CNORbool1.750.061.81
CNOdata000
CNOlist-class0.110.020.13
CNOlist-methods0.080.000.08
CellNOptR-package4.240.054.28
buildBitString000
checkSignals000
compressModel0.010.000.01
computeScoreT10.020.000.02
computeScoreTN0.010.000.01
crossInhibitedData000
cutAndPlot0.160.010.18
cutAndPlotResultsT10.220.000.21
cutAndPlotResultsTN0.390.000.39
cutNONC0.010.000.02
defaultParameters0.000.020.02
exhaustive0.640.010.65
expandGates0.000.020.02
findNONC000
gaBinaryT10.410.000.41
gaBinaryT20.150.000.16
gaBinaryTN0.160.000.15
getFit0.010.000.02
indexFinder000
normaliseCNOlist0.020.000.02
plot-methods0.070.000.08
plotCNOlist0.070.000.06
plotCNOlist22.460.002.47
plotCNOlistLarge0.150.010.15
plotFit0.050.000.05
plotModel1.510.492.00
plotOptimResultsPan0.160.020.17
prep4sim0.010.000.02
preprocessing000
randomizeCNOlist000
readSBMLQual000
residualError000
simulateT10.020.000.01
simulateTN000
simulatorT0000
simulatorT1000
simulatorT2000
simulatorTN000

CellNOptR.Rcheck/examples_x64/CellNOptR-Ex.timings

nameusersystemelapsed
CNORbool1.660.011.67
CNOdata000
CNOlist-class0.100.000.09
CNOlist-methods0.060.000.06
CellNOptR-package4.160.034.19
buildBitString000
checkSignals0.010.000.02
compressModel000
computeScoreT10.020.000.01
computeScoreTN0.030.000.03
crossInhibitedData000
cutAndPlot0.190.000.19
cutAndPlotResultsT10.250.000.25
cutAndPlotResultsTN0.320.020.34
cutNONC000
defaultParameters0.000.020.02
exhaustive0.410.000.41
expandGates0.020.000.01
findNONC0.010.000.02
gaBinaryT10.300.000.29
gaBinaryT20.150.000.16
gaBinaryTN0.290.000.28
getFit0.000.010.02
indexFinder0.000.020.01
normaliseCNOlist0.010.000.02
plot-methods0.130.000.12
plotCNOlist0.080.010.09
plotCNOlist22.780.002.78
plotCNOlistLarge0.170.000.18
plotFit0.060.000.06
plotModel1.770.742.50
plotOptimResultsPan0.220.020.23
prep4sim000
preprocessing0.010.000.02
randomizeCNOlist000
readSBMLQual000
residualError0.000.010.02
simulateT1000
simulateTN000
simulatorT00.020.000.02
simulatorT1000
simulatorT20.010.000.01
simulatorTN000