Package: SpeCond
Title: Condition specific detection from expression data
Version: 1.64.0
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
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 14:04:02 UTC
RemoteUrl: https://github.com/bioc/SpeCond
RemoteRef: RELEASE_3_22
RemoteSha: 32c730884af2f602383061ee9f4033711b25838e
NeedsCompilation: no
Packaged: 2026-02-18 07:51:05 UTC; root
Built: R 4.5.2; ; 2026-02-18 07:52:12 UTC; windows
