SpeCond

This is the released version of SpeCond; for the devel version, see SpeCond.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

Condition specific detection from expression data

Bioconductor version: Release (3.23)

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")):

Florence Cavalli. SpeCond: Condition specific detection from expression data. doi:10.18129/B9.bioc.SpeCond, R package version 1.66.0, https://bioconductor.org/packages/SpeCond.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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	PDF	R Script
Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Clustering, DifferentialExpression, Microarray, MultipleComparison, ReportWriting, Software
Version	1.66.0
In Bioconductor since	BioC 2.5 (R-2.10) (17 years)
License	LGPL (>=2)
Depends	R (>= 2.10.0), mclust (>= 3.3.1), Biobase (>= 1.15.13), fields, hwriter (>= 1.1), RColorBrewer, methods
Imports
System Requirements
URL

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Build Report	Build Report, r-universe

Package Archives

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

Source Package	SpeCond_1.66.0.tar.gz
Windows Binary (x86_64)	SpeCond_1.66.0.zip
macOS Binary (big-sur-x86_64)	SpeCond_1.66.0.tgz
macOS Binary (sonoma-arm64)	SpeCond_1.66.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/SpeCond
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/SpeCond
Package Short Url	https://bioconductor.org/packages/SpeCond/
Package Downloads Report	Download Stats