Literature DB >> 20093118

Comments on the rank product method for analyzing replicated experiments.

James A Koziol1.   

Abstract

Breitling et al. introduced a statistical technique, the rank product method, for detecting differentially regulated genes in replicated microarray experiments. The technique has achieved widespread acceptance and is now used more broadly, in such diverse fields as RNAi analysis, proteomics, and machine learning. In this note, we relate the rank product method to linear rank statistics and provide an alternative derivation of distribution theory attending the rank product method. Copyright (c) 2010 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20093118      PMCID: PMC2849678          DOI: 10.1016/j.febslet.2010.01.031

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  11 in total

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8.  Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments.

Authors:  Rainer Breitling; Patrick Armengaud; Anna Amtmann; Pawel Herzyk
Journal:  FEBS Lett       Date:  2004-08-27       Impact factor: 4.124

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Authors:  James A Koziol; Anne C Feng
Journal:  BMC Bioinformatics       Date:  2005-02-17       Impact factor: 3.169

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  16 in total

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Journal:  PLoS One       Date:  2014-09-15       Impact factor: 3.240

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