maSigPro

DOI: 10.18129/B9.bioc.maSigPro  

Significant Gene Expression Profile Differences in Time Course Gene Expression Data

Bioconductor version: Release (3.16)

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 ua.es>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("maSigPro")

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

Documentation

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

browseVignettes("maSigPro")

 

PDF		maSigPro Vignette
PDF		maSigProUsersGuide.pdf
PDF		Reference Manual

Details

biocViews	Differential Expression, Microarray, RNA-Seq, Software, TimeCourse
Version	1.70.0
In Bioconductor since	BioC 1.7 (R-2.2) (17.5 years)
License	GPL (>= 2)
Depends	R (>= 2.3.1)
Imports	Biobase, graphics, grDevices, venn, mclust, stats, MASS
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Build Report

Package Archives

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

Source Package	maSigPro_1.70.0.tar.gz
Windows Binary	maSigPro_1.70.0.zip
macOS Binary (x86_64)	maSigPro_1.70.0.tgz
macOS Binary (arm64)	maSigPro_1.70.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/maSigPro
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/maSigPro
Bioc Package Browser	https://code.bioconductor.org/browse/maSigPro/
Package Short Url	https://bioconductor.org/packages/maSigPro/
Package Downloads Report	Download Stats