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

This package fits heterogeneous error models for analysis of microarray data

Getting started

Package details

AuthorHyungJun Cho <[email protected]> and Jae K. Lee <[email protected]>
Bioconductor views DifferentialExpression Microarray
MaintainerHyungJun Cho <[email protected]>
LicenseGPL (>= 2)
Version1.54.0
URL http://www.healthsystem.virginia.edu/internet/hes/biostat/bioinformatics/
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("HEM")

Try the HEM package in your browser

Any scripts or data that you put into this service are public.

HEM documentation built on Nov. 1, 2018, 2:53 a.m.