EBarrays
Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification
Bioconductor version: 3.23 · Package version: 2.76.0
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) |
| Downloads rank | 902 |
| Source branch | RELEASE_3_23 |
| biocViews | Clustering, DifferentialExpression, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | EBarrays_2.76.0.tar.gz |
| Windows binary (x86_64) | EBarrays_2.76.0.zip |
| macOS binary (arm64) | EBarrays_2.76.0.tgz |
| macOS binary (x86_64) | EBarrays_2.76.0.tgz |
Dependencies
Depends: R (>= 1.8.0), Biobase, lattice, methods
Imports: Biobase, cluster, graphics, grDevices, lattice, methods, stats