SAGx

DOI: 10.18129/B9.bioc.SAGx    

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

This package is for version 3.13 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see SAGx.

Statistical Analysis of the GeneChip

Bioconductor version: Release (3.13)

A package for retrieval, preparation and analysis of data from the Affymetrix GeneChip. In particular the issue of identifying differentially expressed genes is addressed.

Author: Per Broberg

Maintainer: Per Broberg, <pi.broberg at gmail.com>

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("SAGx")

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

Documentation

PDF		Reference Manual

Details

biocViews	Clustering, DataImport, DifferentialExpression, GeneExpression, GeneSetEnrichment, KEGG, Microarray, MultipleComparison, OneChannel, Pathways, Preprocessing, Regression, Software
Version	1.66.0
In Bioconductor since	BioC 1.9 (R-2.4) (15 years)
License	GPL-3
Depends	R (>= 2.5.0), stats, multtest, methods
Imports	Biobase, stats4
LinkingTo
Suggests	KEGG.db, hu6800.db, MASS
SystemRequirements
Enhances
URL	http://home.swipnet.se/pibroberg/expression_hemsida1.html
Depends On Me
Imports Me
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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/SAGx
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/SAGx
Package Short Url	https://bioconductor.org/packages/SAGx/
Package Downloads Report	Download Stats