To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("PREDA")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.1)
Package for the position related analysis of quantitative functional genomics data.
Author: Francesco Ferrari <francesco.ferrari at unimore.it>
Maintainer: Francesco Ferrari <francesco.ferrari at unimore.it>
Citation (from within R,
enter citation("PREDA")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("PREDA")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PREDA")
R Script | PREDA S4-classes | |
R Script | PREDA tutorial | |
Reference Manual |
biocViews | CopyNumberVariation, GeneExpression, Genetics, Software |
Version | 1.14.0 |
In Bioconductor since | BioC 2.9 (R-2.14) (4 years) |
License | GPL-2 |
Depends | R (>= 2.9.0), Biobase, lokern (>= 1.0.9), multtest, stats, methods, annotate |
Imports | |
LinkingTo | |
Suggests | quantsmooth, qvalue, samr, limma, caTools, affy, PREDAsampledata |
SystemRequirements | |
Enhances | Rmpi, rsprng |
URL | |
Depends On Me | PREDAsampledata |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | PREDA_1.14.0.tar.gz |
Windows Binary | PREDA_1.14.0.zip |
Mac OS X 10.6 (Snow Leopard) | PREDA_1.14.0.tgz |
Mac OS X 10.9 (Mavericks) | PREDA_1.14.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/PREDA/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/PREDA/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: