To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("LPE")
In most cases, you don't need to download the package archive at all.
This package is for version 3.0 of Bioconductor; for the stable, up-to-date release version, see LPE.
Bioconductor version: 3.0
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.
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>
Citation (from within R,
enter citation("LPE")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("LPE")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("LPE")
R Script | LPE test for microarray data with small number of replicates | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, Microarray, Software |
Version | 1.40.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 11 years) |
License | LGPL |
Depends | R (>= 2.10) |
Imports | stats |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
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 |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | LPE_1.40.0.tar.gz |
Windows Binary | LPE_1.40.0.zip |
Mac OS X 10.6 (Snow Leopard) | LPE_1.40.0.tgz |
Mac OS X 10.9 (Mavericks) | LPE_1.40.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/LPE/tree/release-3.0 |
Package Short Url | http://bioconductor.org/packages/LPE/ |
Package Downloads Report | Download Stats |
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