This is the development version of phenoTest; for the stable release version, see 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: Development (3.22)
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, entercitation("phenoTest")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("phenoTest")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("phenoTest")
Details biocViews Classification, Clustering, DifferentialExpression, Microarray, MultipleComparison, Software Version 1.57.0 In Bioconductor since BioC 2.8 (R-2.13) (14 years) License GPL (>=2) Depends R (>= 3.6.0), Biobase, methods, annotate, Heatplus, BMA, ggplot2, Hmisc Imports survival, limma, gplots, Category, AnnotationDbi, hopach, biomaRt, GSEABase, genefilter, xtable, annotate, mgcv, hgu133a.db, ellipse System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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