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: Release (2.11)

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>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("phenoTest")

To cite this package in a publication, start R and enter:

    citation("phenoTest")

PDF	R Script	Manual for the phenoTest library
PDF		Reference Manual

biocViews	Bioinformatics, Classification, Clustering, DifferentialExpression, Microarray, MultipleComparisons, Software
Version	1.6.0
In Bioconductor since	BioC 2.8 (R-2.13)
License	GPL (>=2)
Depends	R (>= 2.12.0), Biobase, methods, annotate, Heatplus, BMA
Imports	survival, limma, Hmisc, gplots, Category, AnnotationDbi, hopach, biomaRt, GSEABase, genefilter, xtable, annotate, mgcv, SNPchip, hgu133a.db, HTSanalyzeR
Suggests	GSEABase, KEGG.db, GO.db
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

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