Bioconductor version: Release (2.7)
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.
Author: Nitin Jain, Michael O'Connell , Jae K. Lee . Includes R source code contributed by HyungJun Cho
Maintainer: Nitin Jain
To install this package, start R and enter:
source("http:///biocLite.R") biocLite("LPE")
R Script | LPE test for microarray data with small number of replicates |
biocViews | Microarray, Bioinformatics, DifferentialExpression |
Depends | |
Imports | stats |
Suggests | |
System Requirements | |
License | LGPL |
URL | http://www.r-project.org, http://www.healthsystem.virginia.edu/internet/hes/biostat/bioinformatics/, http://sourceforge.net/projects/r-lpe/ |
Depends On Me | LPEadj, PLPE |
Imports Me | LPEadj |
Suggests Me | ABarray |
Version | 1.24.0 |
Package Source | LPE_1.24.0.tar.gz |
Windows Binary | LPE_1.24.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | LPE_1.24.0.tgz |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!