ArrayTools

DOI: 10.18129/B9.bioc.ArrayTools    

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 ArrayTools.

geneChip Analysis Package

Bioconductor version: Release (3.13)

This package is designed to provide solutions for quality assessment and to detect differentially expressed genes for the Affymetrix GeneChips, including both 3' -arrays and gene 1.0-ST arrays. The package generates comprehensive analysis reports in HTML format. Hyperlinks on the report page will lead to a series of QC plots, processed data, and differentially expressed gene lists. Differentially expressed genes are reported in tabular format with annotations hyperlinked to online biological databases.

Author: Xiwei Wu, Arthur Li

Maintainer: Arthur Li <xueli at coh.org>

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

Installation

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

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

BiocManager::install("ArrayTools")

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

Documentation

PDF   Reference Manual

Details

biocViews Annotation, DifferentialExpression, Microarray, OneChannel, Preprocessing, QualityControl, ReportWriting, Software, StatisticalMethod, Visualization
Version 1.52.0
In Bioconductor since BioC 2.3 (R-2.8) (13 years)
License LGPL (>= 2.0)
Depends R (>= 2.7.0), affy(>= 1.23.4), Biobase(>= 2.5.5), methods
Imports affy, Biobase, graphics, grDevices, limma, methods, stats, utils, xtable
LinkingTo
Suggests simpleaffy, R2HTML, affydata, affyPLM, genefilter, annaffy, gcrma, hugene10sttranscriptcluster.db
SystemRequirements
Enhances
URL
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/ArrayTools
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ArrayTools
Package Short Url https://bioconductor.org/packages/ArrayTools/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: