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.

pcot2

   

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see pcot2.

Principal Coordinates and Hotelling's T-Square method

Bioconductor version: 3.4

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("pcot2")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("pcot2")

 

PDF R Script PCOT2 Vignette
PDF   Reference Manual

Details

biocViews DifferentialExpression, GeneExpression, KEGG, Microarray, Network, Software
Version 1.42.0
In Bioconductor since BioC 1.9 (R-2.4) (10.5 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  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source pcot2_1.42.0.tar.gz
Windows Binary pcot2_1.42.0.zip
Mac OS X 10.9 (Mavericks) pcot2_1.42.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/pcot2/tree/release-3.4
Package Short Url http://bioconductor.org/packages/pcot2/
Package Downloads Report Download Stats

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