To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

HEM

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

Bioconductor version: Release (2.14)

This package fits heterogeneous error models for analysis of microarray data

Author: HyungJun Cho <hcho at virginia.edu> and Jae K. Lee <jaeklee at virginia.edu>

Maintainer: HyungJun Cho <hcho at virginia.edu>

Citation (from within R, enter citation("HEM")):

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("HEM")

 

PDF R Script HEM Overview
PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software
Version 1.36.0
In Bioconductor since BioC 1.7 (R-2.2)
License GPL (>= 2)
Depends R (>= 2.1.0)
Imports Biobase, grDevices, stats, utils
Suggests
System Requirements
URL http://www.healthsystem.virginia.edu/internet/hes/biostat/bioinformatics/
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source HEM_1.36.0.tar.gz
Windows Binary HEM_1.36.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) HEM_1.36.0.tgz
Mac OS X 10.9 (Mavericks) HEM_1.36.0.tgz
Browse/checkout source (username/password: readonly)
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