To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("bioassayR")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.2
Despite a large and rapidly growing body of small molecule bioactivity data, systematic leverage of these data as a reference for identifying compounds with a desired bioactivity, and assessing the drugability of protein targets are limited by informatics challenges stemming from the large data volume, heterogenous experimental designs, sparseness, and noise. This tool addresses these issues to enable simultaneous analysis of thousands of bioassay experiments performed over a diverse and sparse set of compounds and biological targets.
Author: Tyler Backman, Ronly Schlenk, Thomas Girke
Maintainer: Tyler Backman <tyler.backman at email.ucr.edu>
Citation (from within R,
enter citation("bioassayR")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("bioassayR")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("bioassayR")
HTML | Introduction and Examples | |
Reference Manual | ||
Text | NEWS |
biocViews | Bioinformatics, CellBasedAssays, DataImport, Infrastructure, MicrotitrePlateAssay, Proteomics, Software, Visualization |
Version | 1.8.37 |
In Bioconductor since | BioC 2.13 (R-3.0) (2.5 years) |
License | Artistic-2.0 |
Depends | R (>= 3.1.0), DBI (>= 0.3.1), RSQLite (>= 1.0.0), methods, Matrix, rjson, BiocGenerics(>= 0.13.8) |
Imports | XML, ChemmineR |
LinkingTo | |
Suggests | BiocStyle, RCurl, biomaRt, cellHTS2, knitr, knitcitations, RefManageR, testthat, ggplot2 |
SystemRequirements | |
Enhances | |
URL | https://github.com/TylerBackman/bioassayR |
BugReports | https://github.com/TylerBackman/bioassayR/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | bioassayR_1.8.37.tar.gz |
Windows Binary | bioassayR_1.8.37.zip |
Mac OS X 10.6 (Snow Leopard) | bioassayR_1.8.0.tgz |
Mac OS X 10.9 (Mavericks) | bioassayR_1.8.37.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/bioassayR/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/bioassayR/ |
Package Downloads Report | Download Stats |
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