Condition specific detection from expression data

Bioconductor version: 2.9

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>

To install this package, start R and enter:


To cite this package in a publication, start R and enter:



PDF R Script SpeCond
PDF   Reference Manual


biocViews Microarray, DifferentialExpression, Bioinformatics, MultipleComparisons, Clustering, ReportWriting
Depends R (>= 2.10.0), mclust (>= 3.3.1), Biobase(>= 1.15.13), fields, hwriter (>= 1.1), RColorBrewer, methods
System Requirements
License LGPL (>=2)
Depends On Me
Imports Me
Suggests Me
Version 1.8.0
Since Bioconductor 2.5 (R-2.10)

Package Downloads

Package Source SpeCond_1.8.0.tar.gz
Windows Binary SpeCond_1.8.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary SpeCond_1.8.0.tgz
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