Package: SpeCond
Title: Condition specific detection from expression data
Version: 1.16.0
Author: Florence Cavalli
Maintainer: Florence Cavalli <florence@ebi.ac.uk>
Date: 2009-10-13
Depends: R (>= 2.10.0), mclust (>= 3.3.1), Biobase (>= 1.15.13),
        fields, hwriter (>= 1.1), RColorBrewer, methods
Import: mclust, hwriter, RColorBrewer, fields, methods
Collate: allClass.R show_methods.R fct_SpeCond_2.R
        fct_SpeCond_visualisation.R
Description: 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.
License: LGPL (>=2)
biocViews: Microarray, DifferentialExpression, Bioinformatics,
        MultipleComparisons, Clustering, ReportWriting
Packaged: 2013-10-15 07:23:24 UTC; biocbuild
Built: R 3.0.2; ; 2013-10-15 16:09:38 UTC; windows
