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LPE

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

Bioconductor version: 3.23 · Package version: 1.86.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("LPE")

Details

MaintainerNitin Jain <emailnitinjain@gmail.com>
AuthorNitin Jain <emailnitinjain@gmail.com>, Michael O'Connell <michaelo@warath.com>, Jae K. Lee <jaeklee@virginia.edu>. Includes R source code contributed by HyungJun Cho <hcho@virginia.edu>
LicenseLGPL
URLhttp://www.r-project.org, http://www.healthsystem.virginia.edu/internet/hes/biostat/bioinformatics/, http://sourceforge.net/projects/r-lpe/
Downloads rank541
Source branchRELEASE_3_23
biocViewsDifferentialExpression, Microarray, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageLPE_1.86.0.tar.gz
Windows binary (x86_64)LPE_1.86.0.zip
macOS binary (arm64)LPE_1.86.0.tgz
macOS binary (x86_64)LPE_1.86.0.tgz
Dependencies

Depends: R (>= 2.10)

Imports: stats

Reverse dependencies

Depends On Me (1): PLPE

Suggests Me (1): ABarray