To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("maSigPro")

In most cases, you don't need to download the package archive at all.

maSigPro

Significant Gene Expression Profile Differences in Time Course Microarray Data

Bioconductor version: 2.14

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 experiments.

Author: Ana Conesa <aconesa at cipf.es>, Maria Jose Nueda <mj.nueda at ua.es>

Maintainer: Maria Jose Nueda <mj.nueda at ua.es>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("maSigPro")

Documentation

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

browseVignettes("maSigPro")

 

PDF R Script maSigPro Vignette
PDF maSigProUsersGuide.pdf
PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software, TimeCourse
Version 1.36.0
In Bioconductor since BioC 1.7 (R-2.2)
License GPL (>= 2)
Depends R (>= 2.3.1), stats, Biobase, MASS
Imports Biobase, graphics, grDevices, limma, Mfuzz, stats, utils, MASS
Suggests
System Requirements
URL http://bioinfo.cipf.es/
Depends On Me
Imports Me
Suggests Me oneChannelGUI

Package Archives

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

Package Source maSigPro_1.36.0.tar.gz
Windows Binary maSigPro_1.36.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) maSigPro_1.36.0.tgz
Mac OS X 10.9 (Mavericks) maSigPro_1.36.0.tgz
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