SpeCond

Condition specific detection from expression data

Bioconductor version: Release (2.7)

This package performs a gene expression data analysis to detect condition-specific genes. Such genes are significantly up- or down-regulated in a small number of conditions. It does so by fitting a mixture of normal distributions to the expression values. Conditions can be environmental conditions, different tissues, organs or any other sources that you wish to compare in terms of gene expression.

Author: Florence Cavalli

Maintainer: Florence Cavalli

To install this package, start R and enter:

source("http:///biocLite.R")
biocLite("SpeCond")    

Documentation

PDF

R Script

SpeCond

Reference Manual

Details

biocViews	Microarray, DifferentialExpression, Bioinformatics, MultipleComparisons, Clustering, ReportWriting
Depends	R, mclust, Biobase, fields, hwriter, RColorBrewer, methods
Imports
Suggests
System Requirements
License	LGPL (>=2)
URL
Depends On Me
Imports Me
Suggests Me
Version	1.4.0

Package Downloads

Package Source	SpeCond_1.4.0.tar.gz
Windows Binary	SpeCond_1.4.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	SpeCond_1.4.0.tgz
Package Downloads Report	Download Stats