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

SpeCond

Condition specific detection from expression data

Bioconductor version: 2.13

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 <florence at ebi.ac.uk>

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("SpeCond")

 

PDF	R Script	SpeCond
PDF		Reference Manual

Details

biocViews	Bioinformatics, Clustering, DifferentialExpression, Microarray, MultipleComparisons, ReportWriting, Software
Version	1.16.0
In Bioconductor since	BioC 2.5 (R-2.10)
License	LGPL (>=2)
Depends	R (>= 2.10.0), mclust (>= 3.3.1), Biobase(>= 1.15.13), fields, hwriter (>= 1.1), RColorBrewer, methods
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source	SpeCond_1.16.0.tar.gz
Windows Binary	SpeCond_1.16.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	SpeCond_1.16.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats