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RankProd

Rank Product method for identifying differentially expressed genes with application in meta-analysis

Bioconductor version: 3.24 · Package version: 3.39.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("RankProd")

Details

MaintainerFrancesco Del Carratore <francescodc87@gmail.com>
AuthorFrancesco Del Carratore <francesco.delcarratore@manchester.ac.uk>, Andris Jankevics <andris.jankevics@gmail.com> Fangxin Hong <fxhong@jimmy.harvard.edu>, Ben Wittner <Wittner.Ben@mgh.harvard.edu>, Rainer Breitling <rainer.breitling@manchester.ac.uk>, and Florian Battke <battke@informatik.uni-tuebingen.de>
Licensefile LICENSE
Downloads rank815
Source branchdevel
biocViewsDifferentialExpression, GeneExpression, GeneSignaling, Lipidomics, Metabolomics, Microarray, Proteomics, ResearchField, Software, StatisticalMethod, SystemsBiology

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageRankProd_3.39.0.tar.gz
Windows binary (x86_64)RankProd_3.39.0.zip
macOS binary (arm64)RankProd_3.39.0.tgz
macOS binary (x86_64)RankProd_3.39.0.tgz
Dependencies

Depends: R (>= 3.2.1), stats, methods, Rmpfr, gmp

Imports: graphics

Reverse dependencies

Depends On Me (1): tRanslatome

Imports Me (3): mslp, POMA, synlet

Suggests Me (1): pepdiff