SpeCond

DOI: 10.18129/B9.bioc.SpeCond    

Condition specific detection from expression data

Bioconductor version: Release (3.6)

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("SpeCond")

Documentation

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

browseVignettes("SpeCond")

 

PDF R Script SpeCond
PDF   Reference Manual

Details

biocViews Clustering, DifferentialExpression, Microarray, MultipleComparison, ReportWriting, Software
Version 1.32.0
In Bioconductor since BioC 2.5 (R-2.10) (8.5 years)
License LGPL (>=2)
Depends R (>= 2.10.0), mclust (>= 3.3.1), Biobase(>= 1.15.13), fields, hwriter (>= 1.1), RColorBrewer, methods
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package SpeCond_1.32.0.tar.gz
Windows Binary SpeCond_1.32.0.zip
Mac OS X 10.11 (El Capitan) SpeCond_1.32.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/SpeCond
Package Short Url http://bioconductor.org/packages/SpeCond/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: