To install this package, start R and enter:

## try http if https is not available
source("https://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: 3.1

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")):

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("HEM")

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

biocViews	DifferentialExpression, Microarray, Software
Version	1.40.0
In Bioconductor since	BioC 1.7 (R-2.2) (10 years)
License	GPL (>= 2)
Depends	R (>= 2.1.0)
Imports	Biobase, grDevices, stats, utils
LinkingTo
Suggests
SystemRequirements
Enhances
URL	http://www.healthsystem.virginia.edu/internet/hes/biostat/bioinformatics/
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	HEM_1.40.0.tar.gz
Windows Binary	HEM_1.40.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	HEM_1.40.0.tgz
Mac OS X 10.9 (Mavericks)	HEM_1.40.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/HEM/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/HEM/
Package Downloads Report	Download Stats

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