Bivariate high-level exceedance and the Chen–Stein theorem in genomics multiple hypothesis testing perspectives

In genomic studies, generally the genes are neither independent nor marginally identically distributed, though in microarray studies and DNA/RNA SNP models, often they are assumed to be independent and identically distributed. A version of the Chen–Stein theorem on Poisson approximation for dependent binary variables has been adopted for a mathematical justification of this approach in a general genomic setup.

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Year of publication:	2013
Authors:	Sen, Pranab K. ; Kang, Moonsu
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 83.2013, 7, p. 1725-1730
Publisher:	Elsevier
Subject:	Bivariate extreme \| FDR \| FWER \| HDLSS \| Microarray data model

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010665605