Package: SpeCond
Title: Condition specific detection from expression data
Version: 1.36.0
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, MultipleComparison,
        Clustering, ReportWriting
git_url: https://git.bioconductor.org/packages/SpeCond
git_branch: RELEASE_3_8
git_last_commit: a425ae7
git_last_commit_date: 2018-10-30
Date/Publication: 2018-10-30
NeedsCompilation: no
Packaged: 2018-10-31 01:25:43 UTC; biocbuild
Built: R 3.5.1; ; 2018-10-31 11:52:06 UTC; windows
