To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("SpeCond")

In most cases, you don't need to download the package archive at all.

SpeCond

Condition specific detection from expression data

Bioconductor version: Release (2.14)

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:

source("http://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 1.18.0
In Bioconductor since BioC 2.5 (R-2.10)
License LGPL (>=2)
Depends R (>= 2.10.0), mclust (>= 3.3.1), Biobase(>= 1.15.13), fields, hwriter (>= 1.1), RColorBrewer, methods
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source SpeCond_1.18.0.tar.gz
Windows Binary SpeCond_1.18.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) SpeCond_1.18.0.tgz
Mac OS X 10.9 (Mavericks) SpeCond_1.18.0.tgz
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