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>

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
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Depends On Me
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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