To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("RankProd")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.2
Non-parametric method for identifying differentially expressed (up- or down- regulated) genes based on the estimated percentage of false predictions (pfp). The method can combine data sets from different origins (meta-analysis) to increase the power of the identification.
Author: Fangxin Hong <fxhong at jimmy.harvard.edu> and Ben Wittner <Wittner.Ben at mgh.harvard.edu> with contribution from Rainer Breitling <r.breitling at bio.gla.ac.uk>, Colin Smith <colin at colinsmith.org>, and Florian Battke <battke at informatik.uni-tuebingen.de>
Maintainer: Fangxin Hong <fxhong at jimmy.harvard.edu>
Citation (from within R,
enter citation("RankProd")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("RankProd")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RankProd")
RankProd Tutorial | ||
Reference Manual | ||
Text | LICENSE |
biocViews | DifferentialExpression, Software |
Version | 2.42.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 11 years) |
License | file LICENSE |
Depends | R (>= 1.9.0) |
Imports | graphics |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | RNAither, tRanslatome |
Imports Me | HTSanalyzeR, synlet |
Suggests Me | oneChannelGUI |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | RankProd_2.42.0.tar.gz |
Windows Binary | RankProd_2.42.0.zip |
Mac OS X 10.6 (Snow Leopard) | RankProd_2.42.0.tgz |
Mac OS X 10.9 (Mavericks) | RankProd_2.42.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/RankProd/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/RankProd/ |
Package Downloads Report | Download Stats |
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