To install this package, start R and enter:

source("http://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: 2.14

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 irbbarcelona.org>

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

To install this package, start R and enter:

source("http://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	R Script	Manual for the phenoTest library
PDF		Reference Manual

biocViews	Classification, Clustering, DifferentialExpression, Microarray, MultipleComparison, Software
Version	1.12.0
In Bioconductor since	BioC 2.8 (R-2.13)
License	GPL (>=2)
Depends	R (>= 2.12.0), Biobase, methods, annotate, Heatplus, BMA, ggplot2, gridExtra
Imports	survival, limma, Hmisc, gplots, Category, AnnotationDbi, hopach, biomaRt, GSEABase, genefilter, xtable, annotate, mgcv, SNPchip, hgu133a.db, HTSanalyzeR, ellipse
Suggests	GSEABase, KEGG.db, GO.db
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

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

Common Bioconductor workflows include:

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!