ABarray

Microarray QA and statistical data analysis for Applied Biosystems Genome Survey Microrarray (AB1700) gene expression data.


Bioconductor version: Release (3.19)

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")):

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("ABarray")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ABarray")
ABarray gene expression PDF
ABarray gene expression GUI interface PDF
Reference Manual PDF

Details

biocViews Microarray, OneChannel, Preprocessing, Software
Version 1.72.0
In Bioconductor since BioC 1.9 (R-2.4) (18 years)
License GPL
Depends
Imports Biobase, graphics, grDevices, methods, multtest, stats, tcltk, utils
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Suggests limma, LPE
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Package Archives

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

Source Package ABarray_1.72.0.tar.gz
Windows Binary (x86_64) ABarray_1.72.0.zip
macOS Binary (x86_64) ABarray_1.72.0.tgz
macOS Binary (arm64) ABarray_1.72.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ABarray
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ABarray
Bioc Package Browser https://code.bioconductor.org/browse/ABarray/
Package Short Url https://bioconductor.org/packages/ABarray/
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