maSigPro
This is the development version of maSigPro; for the stable release version, see maSigPro.
Significant Gene Expression Profile Differences in Time Course Gene Expression Data
Bioconductor version: Development (3.20)
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("maSigPro")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
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")
maSigPro Vignette | |
maSigProUsersGuide.pdf | |
Reference Manual |
Details
biocViews | Differential Expression, Microarray, RNA-Seq, Software, TimeCourse |
Version | 1.77.0 |
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 |
System Requirements | |
URL |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | maSigPro_1.77.0.tar.gz |
Windows Binary | maSigPro_1.77.0.zip (64-bit only) |
macOS Binary (x86_64) | maSigPro_1.77.0.tgz |
macOS Binary (arm64) | maSigPro_1.77.0.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 |