sigaR

DOI: 10.18129/B9.bioc.sigaR    

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

Statistics for Integrative Genomics Analyses in R

Bioconductor version: Release (3.12)

Facilitates the joint analysis of high-throughput data from multiple molecular levels. Contains functions for manipulation of objects, various analysis types, and some visualization.

Author: Wessel N. van Wieringen <w.vanwieringen at vumc.nl>

Maintainer: Wessel N. van Wieringen <w.vanwieringen at vumc.nl>

Citation (from within R, enter citation("sigaR")):

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("sigaR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

PDF   Reference Manual

Details

biocViews DifferentialExpression, GeneExpression, Microarray, Pathways, Software, aCGH
Version 1.38.0
In Bioconductor since BioC 2.10 (R-2.15) (8.5 years)
License GPL (>= 2)
Depends Biobase, CGHbase, methods, mvtnorm
Imports corpcor (>= 1.6.2), graphics, igraph, limma, marray, MASS, penalized, quadprog, snowfall, stats
LinkingTo
Suggests CGHcall
SystemRequirements
Enhances
URL http://www.few.vu.nl/~wvanwie
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package
Windows Binary
macOS 10.13 (High Sierra)
Source Repository git clone https://git.bioconductor.org/packages/sigaR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/sigaR
Package Short Url https://bioconductor.org/packages/sigaR/
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