This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see SpeCond.
Bioconductor version: 3.16
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 (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("SpeCond")
For older versions of R, please refer to the appropriate Bioconductor release.
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 | 1.52.0 |
In Bioconductor since | BioC 2.5 (R-2.10) (13.5 years) |
License | LGPL (>=2) |
Depends | R (>= 2.10.0), mclust (>= 3.3.1), Biobase(>= 1.15.13), fields, hwriter (>= 1.1), RColorBrewer, methods |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | SpeCond_1.52.0.tar.gz |
Windows Binary | SpeCond_1.52.0.zip |
macOS Binary (x86_64) | SpeCond_1.52.0.tgz |
macOS Binary (arm64) | SpeCond_1.52.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SpeCond |
Source Repository (Developer Access) | git clone [email protected]:packages/SpeCond |
Bioc Package Browser | https://code.bioconductor.org/browse/SpeCond/ |
Package Short Url | https://bioconductor.org/packages/SpeCond/ |
Package Downloads Report | Download Stats |
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