Bioconductor version: 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 <emailnitinjain at gmail.com>, Michael O'Connell <michaelo at warath.com>, Jae K. Lee <jaeklee at virginia.edu>. Includes R source code contributed by HyungJun Cho <hcho at virginia.edu>
Maintainer: Nitin Jain <emailnitinjain at gmail.com>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("LPE")
To cite this package in a publication, start R and enter:
citation("LPE")
R Script | LPE test for microarray data with small number of replicates | |
Reference Manual |
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 |
Since | Bioconductor 1.6 (R-2.1) or earlier |
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 |
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