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.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see RankProd.
Bioconductor version: 3.4
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: Francesco Del Carratore <francesco.delcarratore at postgrad.manchester.ac.uk>, Andris Janckevics <andris.jankevics at gmail.com> Fangxin Hong <fxhong at jimmy.harvard.edu>, Ben Wittner <Wittner.Ben at mgh.harvard.edu>, Rainer Breitling <r.breitling at bio.gla.ac.uk>, and Florian Battke <battke at informatik.uni-tuebingen.de>
Maintainer: Francesco Del Carratore <francescodc87 at gmail.com>
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")
R Script | RankProd Tutorial | |
Reference Manual | ||
Text | LICENSE |
biocViews | DifferentialExpression, GeneExpression, GeneSignaling, Lipidomics, Metabolomics, Microarray, Proteomics, ResearchField, Software, StatisticalMethod, SystemsBiology |
Version | 3.0.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 12 years) |
License | file LICENSE |
Depends | R (>= 3.2.1), stats, methods, Rmpfr, gmp |
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_3.0.0.tar.gz |
Windows Binary | RankProd_3.0.0.zip |
Mac OS X 10.9 (Mavericks) | RankProd_3.0.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/RankProd/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/RankProd/ |
Package Downloads Report | Download Stats |
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