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

Lim Johan, Kim Jayeon and Kim Byung Soo
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Lim Johan: Seoul National University
Kim Jayeon: Yonsei University
Kim Byung Soo: Yonsei University

Statistical Applications in Genetics and Molecular Biology, 2010, vol. 9, issue 1, 12

Abstract: 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 (search for similar items in EconPapers)
Date: 2010
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DOI: 10.2202/1544-6115.1525

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