Package ‘ RankProd ’
نویسنده
چکیده
February 1, 2017 Version 3.0.0 Date 2016-09-16 Title Rank Product method for identifying differentially expressed genes with application in meta-analysis Author Francesco Del Carratore , Andris Janckevics Fangxin Hong , Ben Wittner , Rainer Breitling , and Florian Battke Maintainer Francesco Del Carratore
منابع مشابه
RankProd 2.0: a refactored bioconductor package for detecting differentially expressed features in molecular profiling datasets
Motivation The Rank Product (RP) is a statistical technique widely used to detect differentially expressed features in molecular profiling experiments such as transcriptomics, metabolomics and proteomics studies. An implementation of the RP and the closely related Rank Sum (RS) statistics has been available in the RankProd Bioconductor package for several years. However, several recent advances...
متن کاملRankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis
UNLABELLED While meta-analysis provides a powerful tool for analyzing microarray experiments by combining data from multiple studies, it presents unique computational challenges. The Bioconductor package RankProd provides a new and intuitive tool for this purpose in detecting differentially expressed genes under two experimental conditions. The package modifies and extends the rank product meth...
متن کاملBioconductor RankProd Package Vignette
The RankProd package contains functions for the analysis of gene expression microarray data, in particular the identification of differentially expressed genes. RankProd utilizes the so called rank product non-parametric method (Breitling et al., 2004, FEBS Letters 573:83) to identify up-regulated or down-regulated genes under one condition against another condition, e.g. two different treatmen...
متن کاملPackage 'rankprod' Title Rank Product Method for Identifying Differentially Expressed Genes with Application in Meta-analysis
January 15, 2017 Version 3.0.0 Date 2016-09-16 Title Rank Product method for identifying differentially expressed genes with application in meta-analysis Author Francesco Del Carratore , Andris Janckevics Fangxin Hong , Ben Wittner , Rainer Breitling <r.breitling...
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Colon cancer is the third and second most common cancer form in men and women worldwide. It is generally accepted that colon cancer mainly results from diet. The aim of this study was to identify core pathways which elucidated the molecular mechanisms in colon cancer. The microarray data of E-GEOD-44861 was downloaded from ArrayExpress database. All human pathways were obtained from Kyoto Encyc...
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