DOI: 10.18129/B9.bioc.SpeCond    

This is the development version of SpeCond; for the stable release version, see SpeCond.

Condition specific detection from expression data

Bioconductor version: Development (3.9)

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>

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


To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("SpeCond", version = "3.9")

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:



PDF R Script SpeCond
PDF   Reference Manual


biocViews Clustering, DifferentialExpression, Microarray, MultipleComparison, ReportWriting, Software
Version 1.37.0
In Bioconductor since BioC 2.5 (R-2.10) (9.5 years)
License LGPL (>=2)
Depends R (>= 2.10.0), mclust (>= 3.3.1), Biobase(>= 1.15.13), fields, hwriter (>= 1.1), RColorBrewer, methods
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package SpeCond_1.37.0.tar.gz
Windows Binary SpeCond_1.37.0.zip
Mac OS X 10.11 (El Capitan) SpeCond_1.37.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/SpeCond
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/SpeCond
Package Short Url http://bioconductor.org/packages/SpeCond/
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