phenoTest

DOI: 10.18129/B9.bioc.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 (3.6)

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")):

Installation

To install this package, start R and enter:

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

Documentation

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

Details

biocViews Classification, Clustering, DifferentialExpression, Microarray, MultipleComparison, Software
Version 1.26.0
In Bioconductor since BioC 2.8 (R-2.13) (7 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  

Package Archives

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

Source Package phenoTest_1.26.0.tar.gz
Windows Binary phenoTest_1.26.0.zip
Mac OS X 10.11 (El Capitan) phenoTest_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/phenoTest
Package Short Url http://bioconductor.org/packages/phenoTest/
Package Downloads Report Download Stats

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