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Condition specific detection from expression data

Bioconductor version: Release (3.19)

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>

Citation (from within R, enter citation("SpeCond")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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

SpeCond PDF R Script
Reference Manual PDF


biocViews Clustering, DifferentialExpression, Microarray, MultipleComparison, ReportWriting, Software
Version 1.58.0
In Bioconductor since BioC 2.5 (R-2.10) (14.5 years)
License LGPL (>=2)
Depends R (>= 2.10.0), mclust (>= 3.3.1), Biobase(>= 1.15.13), fields, hwriter (>= 1.1), RColorBrewer, methods
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Follow Installation instructions to use this package in your R session.

Source Package SpeCond_1.58.0.tar.gz
Windows Binary
macOS Binary (x86_64) SpeCond_1.58.0.tgz
macOS Binary (arm64) SpeCond_1.58.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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