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Statistical Applications in Genetics and Molecular Biology

Editor-in-Chief: Sanguinetti, Guido

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Volume 9, Issue 1


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An Alternative Model of Type A Dependence in a Gene Set of Correlated Genes

Johan Lim / Jayeon Kim / Byung Soo Kim
Published Online: 2010-01-26 | DOI: https://doi.org/10.2202/1544-6115.1525

Klebanov et al. (2006) proposed a new type of stochastic dependence, Type A dependence, between gene expression levels. They estimated the abundance of Type A pairs by testing the correlation coefficients of gene pairs. We propose a new model, hidden regulator dependence, as an alternative to Type A dependence. We show that the correlation based procedure proposed by Klebanov et al. (2006) fails to differentiate hidden regulator dependence from Type A dependence, although their probabilistic structures are quite different.

Keywords: gene-gene interaction; microarray data; mixed effects model; type A dependence

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Published Online: 2010-01-26

Citation Information: Statistical Applications in Genetics and Molecular Biology, Volume 9, Issue 1, ISSN (Online) 1544-6115, DOI: https://doi.org/10.2202/1544-6115.1525.

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