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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 (3.20)

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))

# The following initializes usage of Bioc devel


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 1.53.0
In Bioconductor since BioC 2.8 (R-2.13) (13 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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Follow Installation instructions to use this package in your R session.

Source Package phenoTest_1.53.0.tar.gz
Windows Binary
macOS Binary (x86_64) phenoTest_1.53.0.tgz
macOS Binary (arm64) phenoTest_1.53.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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