This is the released version of EBarrays; for the devel version, see EBarrays.
Unified Approach for Simultaneous Gene Clustering and Differential Expression IdentificationBioconductor version: Release (3.21)
EBarrays provides tools for the analysis of replicated/unreplicated microarray data.
Author: Ming Yuan, Michael Newton, Deepayan Sarkar and Christina Kendziorski
Maintainer: Ming Yuan <myuan at isye.gatech.edu>
Citation (from within R, entercitation("EBarrays")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("EBarrays")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("EBarrays")
Details biocViews Clustering, DifferentialExpression, Software Version 2.72.0 In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 20 years) License GPL (>= 2) Depends R (>= 1.8.0), Biobase, lattice, methods Imports Biobase, cluster, graphics, grDevices, lattice, methods, stats System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4