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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.
RankProd
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Rank Product method for identifying differentially expressed genes with application in meta-analysis
Bioconductor version: Release (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")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("RankProd")
Documentation
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 |
Details
| 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 |
Package Archives
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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