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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 (3.19)

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>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Manual for the phenoTest library PDF R Script
Reference Manual PDF


biocViews Classification, Clustering, DifferentialExpression, Microarray, MultipleComparison, Software
Version 1.52.0
In Bioconductor since BioC 2.8 (R-2.13) (13.5 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
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Suggests GSEABase, GO.db
Linking To
Enhances parallel,,,,,
Depends On Me
Imports Me canceR
Suggests Me
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Package Archives

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

Source Package phenoTest_1.52.0.tar.gz
Windows Binary
macOS Binary (x86_64) phenoTest_1.52.0.tgz
macOS Binary (arm64) phenoTest_1.52.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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