EBarrays
Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification
Bioconductor version: 3.24 · Package version: 2.77.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
EBarrays provides tools for the analysis of replicated/unreplicated microarray data.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("EBarrays")Details
| Maintainer | Ming Yuan <myuan@isye.gatech.edu> |
| Author | Ming Yuan, Michael Newton, Deepayan Sarkar and Christina Kendziorski |
| License | GPL (>= 2) |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Clustering, DifferentialExpression, Software |
| Package Short Url | https://bioconductor.org/packages/EBarrays/ |
Citation
From within R, enter citation("EBarrays"):
Ming Yuan, Michael Newton, Deepayan Sarkar and Christina Kendziorski. EBarrays: Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification. doi:10.18129/B9.bioc.EBarrays, R package version 2.77.0, https://bioconductor.org/packages/EBarrays.
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 | EBarrays_2.77.0.tar.gz |
| Windows binary (x86_64) | EBarrays_2.77.0.zip |
| macOS binary (arm64) | EBarrays_2.77.0.tgz |
| macOS binary (x86_64) | EBarrays_2.77.0.tgz |
Dependencies
Depends: R (>= 1.8.0), Biobase, lattice, methods
Imports: Biobase, cluster, graphics, grDevices, lattice, methods, stats