Bioconductor-mirror/RankProd: Rank Product method for identifying differentially expressed genes with application in meta-analysis
Version 3.3.4

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.

Getting started

Package details

AuthorFrancesco Del Carratore <[email protected]>, Andris Jankevics <[email protected]> Fangxin Hong <[email protected]>, Ben Wittner <[email protected]>, Rainer Breitling <[email protected]>, and Florian Battke <[email protected]>
Bioconductor views DifferentialExpression GeneExpression GeneSignaling Lipidomics Metabolomics Microarray Proteomics ResearchField Software StatisticalMethod SystemsBiology
MaintainerFrancesco Del Carratore <[email protected]>
Licensefile LICENSE
Version3.3.4
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/RankProd")
Bioconductor-mirror/RankProd documentation built on May 31, 2017, 11:41 p.m.