This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see ABarray.
Bioconductor version: 3.15
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 (version "4.2") 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.
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 | 1.64.0 |
In Bioconductor since | BioC 1.9 (R-2.4) (16 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 | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | ABarray_1.64.0.tar.gz |
Windows Binary | ABarray_1.64.0.zip |
macOS Binary (x86_64) | ABarray_1.64.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ABarray |
Source Repository (Developer Access) | git clone [email protected]:packages/ABarray |
Package Short Url | https://bioconductor.org/packages/ABarray/ |
Package Downloads Report | Download Stats |
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