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Significant Gene Expression Profile Differences in Time Course Gene Expression Data

Bioconductor version: Release (3.19)

maSigPro is a regression based approach to find genes for which there are significant gene expression profile differences between experimental groups in time course microarray and RNA-Seq experiments.

Author: Ana Conesa and Maria Jose Nueda

Maintainer: Maria Jose Nueda <mj.nueda at>

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


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:

maSigPro Vignette PDF
maSigProUsersGuide.pdf PDF
Reference Manual PDF


biocViews Differential Expression, Microarray, RNA-Seq, Software, TimeCourse
Version 1.76.0
In Bioconductor since BioC 1.7 (R-2.2) (19 years)
License GPL (>= 2)
Depends R (>= 2.3.1)
Imports Biobase, graphics, grDevices, venn, mclust, stats, MASS
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Follow Installation instructions to use this package in your R session.

Source Package maSigPro_1.76.0.tar.gz
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macOS Binary (x86_64) maSigPro_1.76.0.tgz
macOS Binary (arm64) maSigPro_1.76.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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