RankProd
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see RankProd.
Rank Product method for identifying differentially expressed genes with application in meta-analysis
Bioconductor version: 3.19
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 manchester.ac.uk>, Andris Jankevics <andris.jankevics at gmail.com> Fangxin Hong <fxhong at jimmy.harvard.edu>, Ben Wittner <Wittner.Ben at mgh.harvard.edu>, Rainer Breitling <rainer.breitling at manchester.ac.uk>, and Florian Battke <battke at informatik.uni-tuebingen.de>
Maintainer: Francesco Del Carratore <francescodc87 at gmail.com>
citation("RankProd")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("RankProd")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RankProd")
RankProd Tutorial | R Script | |
Reference Manual | ||
LICENSE | Text |
Details
biocViews | DifferentialExpression, GeneExpression, GeneSignaling, Lipidomics, Metabolomics, Microarray, Proteomics, ResearchField, Software, StatisticalMethod, SystemsBiology |
Version | 3.30.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 19.5 years) |
License | file LICENSE |
Depends | R (>= 3.2.1), stats, methods, Rmpfr, gmp |
Imports | graphics |
System Requirements | |
URL |
See More
Suggests | |
Linking To | |
Enhances | |
Depends On Me | tRanslatome |
Imports Me | POMA, mslp, synlet, INCATome |
Suggests Me | sigQC |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | RankProd_3.30.0.tar.gz |
Windows Binary (x86_64) | RankProd_3.30.0.zip |
macOS Binary (x86_64) | RankProd_3.30.0.tgz |
macOS Binary (arm64) | RankProd_3.30.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/RankProd |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/RankProd |
Bioc Package Browser | https://code.bioconductor.org/browse/RankProd/ |
Package Short Url | https://bioconductor.org/packages/RankProd/ |
Package Downloads Report | Download Stats |