This is the development version of SpeCond; for the stable release version, see SpeCond.
Condition specific detection from expression dataBioconductor version: Development (3.22)
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, entercitation("SpeCond")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("SpeCond")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SpeCond")
Details biocViews Clustering, DifferentialExpression, Microarray, MultipleComparison, ReportWriting, Software Version 1.63.0 In Bioconductor since BioC 2.5 (R-2.10) (15.5 years) License LGPL (>=2) Depends R (>= 2.10.0), mclust (>= 3.3.1), Biobase(>= 1.15.13), fields, hwriter (>= 1.1), RColorBrewer, methods Imports System Requirements URL See More Suggests Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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