To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("LPEadj")
In most cases, you don't need to download the package archive at all.
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This package is for version 2.11 of Bioconductor; for the stable, up-to-date release version, see LPEadj.
Bioconductor version: 2.11
Two options are added to the LPE algorithm. The original LPE method sets all variances below the max variance in the ordered distribution of variances to the maximum variance. in LPEadj this option is turned off by default. The second option is to use a variance adjustment based on sample size rather than pi/2. By default the LPEadj uses the sample size based variance adjustment.
Author: Carl Murie <carl.murie at mcgill.ca>, Robert Nadon <robert.nadon at mcgill.ca>
Maintainer: Carl Murie <carl.murie at mcgill.ca>
Citation (from within R,
enter citation("LPEadj")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("LPEadj")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("LPEadj")
R Script | LPEadj test for microarray data with small number of replicates | |
Reference Manual |
biocViews | Bioinformatics, Microarray, Proteomics, Software |
Version | 1.18.0 |
In Bioconductor since | BioC 2.3 (R-2.8) (7.5 years) |
License | LGPL |
Depends | LPE |
Imports | LPE, stats |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | LPEadj_1.18.0.tar.gz |
Windows Binary | LPEadj_1.18.0.zip |
Mac OS X 10.6 (Snow Leopard) | |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/LPEadj/tree/release-2.11 |
Package Short Url | http://bioconductor.org/packages/LPEadj/ |
Package Downloads Report | Download Stats |
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