To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ABarray")
In most cases, you don't need to download the package archive at all.
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Bioconductor version: Release (3.4)
Automated pipline to perform gene expression analysis for Applied Biosystems Genome Survey Microarray (AB1700) data format. Functions include data preprocessing, filtering, control probe analysis, statistical analysis in one single function. A GUI interface is also provided. The raw data, processed data, graphics output and statistical results are organized into folders according to the analysis settings used.
Author: Yongming Andrew Sun
Maintainer: Yongming Andrew Sun <sunya at appliedbiosystems.com>
Citation (from within R,
enter citation("ABarray")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ABarray")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ABarray")
ABarray gene expression | ||
ABarray gene expression GUI interface | ||
Reference Manual |
biocViews | Microarray, OneChannel, Preprocessing, Software |
Version | 1.42.0 |
In Bioconductor since | BioC 1.9 (R-2.4) (10.5 years) |
License | GPL |
Depends | |
Imports | Biobase, graphics, grDevices, methods, multtest, stats, tcltk, utils |
LinkingTo | |
Suggests | limma, LPE |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | ABarray_1.42.0.tar.gz |
Windows Binary | ABarray_1.42.0.zip |
Mac OS X 10.9 (Mavericks) | ABarray_1.42.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/ABarray/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/ABarray/ |
Package Downloads Report | Download Stats |
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