To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("ArrayTools")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("ArrayTools")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ArrayTools")
R Script | 1. Primer | |
Reference Manual |
biocViews | Annotation, DifferentialExpression, Microarray, OneChannel, Preprocessing, QualityControl, ReportWriting, Software, Statistics, Visualization |
Version | 1.22.0 |
In Bioconductor since | BioC 2.3 (R-2.8) |
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 |
Suggests | simpleaffy, R2HTML, affydata, affyPLM, genefilter, annaffy, gcrma, hugene10sttranscriptcluster.db |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | ArrayTools_1.22.0.tar.gz |
Windows Binary | ArrayTools_1.22.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | ArrayTools_1.22.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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