Bioconductor version: 2.6
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("SpeCond")
To cite this package in a publication, start R and enter:
citation("SpeCond")
R Script | SpeCond | |
Reference Manual |
biocViews | Microarray, DifferentialExpression, Bioinformatics, MultipleComparisons, Clustering, ReportWriting |
Depends | R (>= 2.10.0), mclust (>= 3.3.1), Biobase(>= 1.15.13), fields, hwriter (>= 1.1), RColorBrewer, methods |
Imports | |
Suggests | |
System Requirements | |
License | LGPL (>=2) |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Version | 1.2.0 |
Since | Bioconductor 2.5 (R-2.10) |
Package Source | SpeCond_1.2.0.tar.gz |
Windows Binary | SpeCond_1.2.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | SpeCond_1.2.0.tgz |
Package Downloads Report | Download Stats |
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