maSigPro

DOI: 10.18129/B9.bioc.maSigPro  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see maSigPro.

Significant Gene Expression Profile Differences in Time Course Gene Expression Data

Bioconductor version: 3.17

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>

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

Installation

To install this package, start R (version "4.3") 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 1.72.0
In Bioconductor since BioC 1.7 (R-2.2) (18 years)
License GPL (>= 2)
Depends R (>= 2.3.1)
Imports Biobase, graphics, grDevices, venn, mclust, stats, MASS
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package maSigPro_1.72.0.tar.gz
Windows Binary maSigPro_1.72.0.zip (64-bit only)
macOS Binary (x86_64) maSigPro_1.72.0.tgz
macOS Binary (arm64) maSigPro_1.72.0.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

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: