RankProd: Rank Product method for identifying differentially expressed genes with application in meta-analysis
Version 3.2.0

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.

Package details

AuthorFrancesco Del Carratore <[email protected]>, Andris Janckevics <[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
Version3.2.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("RankProd")

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RankProd documentation built on May 31, 2017, 1:56 p.m.