HEM

Heterogeneous error model for identification of differentially expressed genes under multiple conditions

This package fits heterogeneous error models for analysis of microarray data

Author HyungJun Cho and Jae K. Lee
Maintainer HyungJun Cho

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("HEM")

Vignettes (Documentation)

Package Downloads

HEM.pdf
Source HEM_1.10.0.tar.gz
Windows binary HEM_1.10.0.zip
OS X binary HEM_1.10.0.tgz

Details

biocViews
Depends R, Biobase
Suggests
Imports
SystemRequirements
License GPL version 2 or newer
URL http://www.healthsystem.virginia.edu/internet/hes/biostat/bioinformatics/
dependsOnMe
suggestsMe