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: 2.10

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
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
License	GPL (>=2)
URL
Depends On Me
Imports Me
Suggests Me
Version	1.4.0
Since	Bioconductor 2.8 (R-2.13)

Common Bioconductor workflows include:

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