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Search procedure for identifying gen...

Milanov, Valentin B.

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Search procedure for identifying gene-gene interaction based on entropy measures.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Search procedure for identifying gene-gene interaction based on entropy measures./
Author:	Milanov, Valentin B.
Description:	106 p.
Notes:	Source: Dissertation Abstracts International, Volume: 66-03, Section: B, page: 1538.
Contained By:	Dissertation Abstracts International66-03B.
Subject:	Statistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3167434
ISBN:	0542032422

Search procedure for identifying gene-gene interaction based on entropy measures.
Milanov, Valentin B.

Search procedure for identifying gene-gene interaction based on entropy measures. - 106 p.

Source: Dissertation Abstracts International, Volume: 66-03, Section: B, page: 1538.

Thesis (Ph.D.)--Michigan Technological University, 2005.

In this work we propose and study four novel search procedures for identifying susceptibility genes for complex human diseases among thousands of candidate genes genome-wide and, in particular gene-gene interaction. The proposed methods are based on a float search algorithm utilizing criterion functions based on entropy based measures of association. The search procedures utilize genotype data from a large set of independent markers under case-control design. We show, through extensive simulations and comparisons, that the proposed search procedure may have higher discovery rates than other methods for identification of gene-gene interaction currently used.

ISBN: 0542032422Subjects--Topical Terms:

517247
Statistics.

Search procedure for identifying gene-gene interaction based on entropy measures.
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100 1 $a Milanov, Valentin B. $3 1906861
245 1 0 $a Search procedure for identifying gene-gene interaction based on entropy measures.
300 $a 106 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-03, Section: B, page: 1538.
500 $a Adviser: Renfang Jiang.
502 $a Thesis (Ph.D.)--Michigan Technological University, 2005.
520 $a In this work we propose and study four novel search procedures for identifying susceptibility genes for complex human diseases among thousands of candidate genes genome-wide and, in particular gene-gene interaction. The proposed methods are based on a float search algorithm utilizing criterion functions based on entropy based measures of association. The search procedures utilize genotype data from a large set of independent markers under case-control design. We show, through extensive simulations and comparisons, that the proposed search procedure may have higher discovery rates than other methods for identification of gene-gene interaction currently used.
590 $a School code: 0129.
650 4 $a Statistics. $3 517247
650 4 $a Biology, Biostatistics. $3 1018416
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690 $a 0308
710 2 0 $a Michigan Technological University. $3 1032921
773 0 $t Dissertation Abstracts International $g 66-03B.
790 1 0 $a Jiang, Renfang, $e advisor
790 $a 0129
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3167434