To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

phenoTest

Tools to test association between gene expression and phenotype in a way that is efficient, structured, fast and scalable. We also provide tools to do GSEA (Gene set enrichment analysis) and copy number variation.

Bioconductor version: 3.2

Tools to test correlation between gene expression and phenotype in a way that is efficient, structured, fast and scalable. GSEA is also provided.

Author: Evarist Planet

Maintainer: Evarist Planet <evarist.planet at epfl.ch>

Citation (from within R, enter citation("phenoTest")):

To install this package, start R and enter:

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

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

browseVignettes("phenoTest")

PDF		Manual for the phenoTest library
PDF		Reference Manual

biocViews	Classification, Clustering, DifferentialExpression, Microarray, MultipleComparison, Software
Version	1.18.0
In Bioconductor since	BioC 2.8 (R-2.13) (5 years)
License	GPL (>=2)
Depends	R (>= 2.12.0), Biobase, methods, annotate, Heatplus, BMA, ggplot2
Imports	survival, limma, Hmisc, gplots, Category, AnnotationDbi, hopach, biomaRt, GSEABase, genefilter, xtable, annotate, mgcv, SNPchip, hgu133a.db, HTSanalyzeR, ellipse
LinkingTo
Suggests	GSEABase, KEGG.db, GO.db
SystemRequirements
Enhances	parallel, org.Ce.eg.db, org.Mm.eg.db, org.Rn.eg.db, org.Hs.eg.db, org.Dm.eg.db
URL
Depends On Me
Imports Me	canceR
Suggests Me
Build Report

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

Package Source	phenoTest_1.18.0.tar.gz
Windows Binary	phenoTest_1.18.0.zip
Mac OS X 10.6 (Snow Leopard)	phenoTest_1.18.0.tgz
Mac OS X 10.9 (Mavericks)	phenoTest_1.18.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/phenoTest/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/phenoTest/
Package Downloads Report	Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Please read the posting guide. Post questions about Bioconductor to one of the following locations: