ABarray
Microarray QA and statistical data analysis for Applied Biosystems Genome Survey Microrarray (AB1700) gene expression data.
Bioconductor version: 3.24 · Package version: 1.81.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ABarray")Details
| Maintainer | Yongming Andrew Sun <sunya@appliedbiosystems.com> |
| Author | Yongming Andrew Sun |
| License | GPL |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Microarray, OneChannel, Preprocessing, Software |
| Package Short Url | https://bioconductor.org/packages/ABarray/ |
Citation
From within R, enter citation("ABarray"):
Yongming Andrew Sun. ABarray: Microarray QA and statistical data analysis for Applied Biosystems Genome Survey Microrarray (AB1700) gene expression data. doi:10.18129/B9.bioc.ABarray, R package version 1.81.0, https://bioconductor.org/packages/ABarray.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | ABarray_1.81.0.tar.gz |
| Windows binary (x86_64) | ABarray_1.81.0.zip |
| macOS binary (arm64) | ABarray_1.81.0.tgz |
| macOS binary (x86_64) | ABarray_1.81.0.tgz |