Literature DB >> 15225163

A note on the genome scan meta-analysis statistic.

J A Koziol1, A C Feng.   

Abstract

Wise and colleagues (Ann. Hum. Genet. (1999) 63: 263-72) introduced a rank-based statistical technique for meta-analysis of genome scans, the Genome Scan Meta-Analysis (GSMA) method. We provide an alternative derivation of the null distribution of the GSMA statistic, with extensions, and we suggest approximations to the distribution of the GSMA statistic that may be useful in applications.

Mesh:

Year:  2004        PMID: 15225163     DOI: 10.1046/j.1529-8817.2004.00103.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  4 in total

1.  Comments on the rank product method for analyzing replicated experiments.

Authors:  James A Koziol
Journal:  FEBS Lett       Date:  2010-01-20       Impact factor: 4.124

2.  A note on generalized Genome Scan Meta-Analysis statistics.

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

3.  Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers.

Authors:  Rob Eisinga; Tom Heskes; Ben Pelzer; Manfred Te Grotenhuis
Journal:  BMC Bioinformatics       Date:  2017-01-25       Impact factor: 3.169

4.  Meta analysis of whole-genome linkage scans with data uncertainty: an application to Parkinson's disease.

Authors:  Albert Rosenberger; Manu Sharma; Bertram Müller-Myhsok; Thomas Gasser; Heike Bickeböller
Journal:  BMC Genet       Date:  2007-07-02       Impact factor: 2.797

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.