SpeCond
Condition specific detection from expression data
Bioconductor version: Release (3.20)
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("SpeCond")
):
Installation
To install this package, start R (version "4.4") 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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SpeCond")
SpeCond | R Script | |
Reference Manual |
Details
biocViews | Clustering, DifferentialExpression, Microarray, MultipleComparison, ReportWriting, Software |
Version | 1.60.0 |
In Bioconductor since | BioC 2.5 (R-2.10) (15 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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URL |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | SpeCond_1.60.0.tar.gz |
Windows Binary (x86_64) | SpeCond_1.60.0.zip |
macOS Binary (x86_64) | SpeCond_1.60.0.tgz |
macOS Binary (arm64) | SpeCond_1.60.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SpeCond |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SpeCond |
Bioc Package Browser | https://code.bioconductor.org/browse/SpeCond/ |
Package Short Url | https://bioconductor.org/packages/SpeCond/ |
Package Downloads Report | Download Stats |