LPE: Methods for analyzing microarray data using Local Pooled Error (LPE) method
Version 1.50.0

This LPE library is used to do significance analysis of microarray data with small number of replicates. It uses resampling based FDR adjustment, and gives less conservative results than traditional 'BH' or 'BY' procedures. Data accepted is raw data in txt format from MAS4, MAS5 or dChip. Data can also be supplied after normalization. LPE library is primarily used for analyzing data between two conditions. To use it for paired data, see LPEP library. For using LPE in multiple conditions, use HEM library.

Package details

AuthorNitin Jain <[email protected]>, Michael O'Connell <[email protected]>, Jae K. Lee <[email protected]>. Includes R source code contributed by HyungJun Cho <[email protected]>
Bioconductor views DifferentialExpression Microarray
MaintainerNitin Jain <[email protected]>
LicenseLGPL
Version1.50.0
URL http://www.r-project.org http://www.healthsystem.virginia.edu/internet/hes/biostat/bioinformatics/ http://sourceforge.net/projects/r-lpe/
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("LPE")

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LPE documentation built on May 31, 2017, 2:51 p.m.