To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("SpeCond")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.4)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("SpeCond")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SpeCond")
R Script | SpeCond | |
Reference Manual |
biocViews | Clustering, DifferentialExpression, Microarray, MultipleComparison, ReportWriting, Software |
Version | 1.28.0 |
In Bioconductor since | BioC 2.5 (R-2.10) (7.5 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 | |
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Depends On Me | |
Imports Me | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | SpeCond_1.28.0.tar.gz |
Windows Binary | SpeCond_1.28.0.zip |
Mac OS X 10.9 (Mavericks) | SpeCond_1.28.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/SpeCond/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/SpeCond/ |
Package Downloads Report | Download Stats |
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