To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("pcot2")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
PCOT2 is a permutation-based method for investigating changes in the activity of multi-gene networks. It utilizes inter-gene correlation information to detect significant alterations in gene network activities. Currently it can be applied to two-sample comparisons.
Author: Sarah Song, Mik Black
Maintainer: Sarah Song <qson003 at stat.auckland.ac.nz>
Citation (from within R,
enter citation("pcot2")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("pcot2")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pcot2")
R Script | PCOT2 Vignette | |
Reference Manual |
biocViews | DifferentialExpression, GeneExpression, KEGG, Microarray, Network, Software |
Version | 1.44.0 |
In Bioconductor since | BioC 1.9 (R-2.4) (11 years) |
License | GPL (>= 2) |
Depends | R (>= 2.0.0), grDevices, Biobase, amap |
Imports | |
LinkingTo | |
Suggests | multtest, hu6800.db, KEGG.db, mvtnorm |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | pcot2_1.44.0.tar.gz |
Windows Binary | pcot2_1.44.0.zip |
Mac OS X 10.11 (El Capitan) | pcot2_1.44.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/pcot2 |
Package Short Url | http://bioconductor.org/packages/pcot2/ |
Package Downloads Report | Download Stats |
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