HEM

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

Bioconductor version: Release (2.7)

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:///biocLite.R")
biocLite("HEM")    

Documentation

PDF

R Script

HEM Overview

Reference Manual

Details

biocViews	Microarray, DifferentialExpression, Bioinformatics
Depends	R
Imports	Biobase, grDevices, stats, utils
Suggests
System Requirements
License	GPL (>= 2)
URL	http://www.healthsystem.virginia.edu/internet/hes/biostat/bioinformatics/
Depends On Me
Imports Me
Suggests Me
Version	1.22.0

Package Downloads

Package Source	HEM_1.22.0.tar.gz
Windows Binary	HEM_1.22.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	HEM_1.22.0.tgz
Package Downloads Report	Download Stats