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Statistical studies of genomics data.

Feng, Sheng.

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Statistical studies of genomics data.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical studies of genomics data./
Author:	Feng, Sheng.
Description:	104 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-11, Section: B, page: 5811.
Contained By:	Dissertation Abstracts International65-11B.
Subject:	Statistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3154200
ISBN:	0496146971

Statistical studies of genomics data.
Feng, Sheng.

Statistical studies of genomics data. - 104 p.

Source: Dissertation Abstracts International, Volume: 65-11, Section: B, page: 5811.

Thesis (Ph.D.)--North Carolina State University, 2005.

In recent years, studies on Genetics and Genomics have become one of the most active fields in science. The Genetic and Genomics data have several significant and unique characteristics that bring great challenges for data analysis. Three statistical studies have been presented in this dissertation. In chapter 1, an empirical Bayesian approach has been developed in a linear mixed model for microarry data analysis. In chapter 2, a multiple order Markov chain model is applied to summarize the local correlation patterns among multiple genetic markers in linkage disequilibrium mapping. In chapter 3, a shrinkage method is being developed to integrate biological prior knowledge presented in moment statistics. This new method may be useful in some genetic network studies.

ISBN: 0496146971Subjects--Topical Terms:

517247
Statistics.

Statistical studies of genomics data.
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245 1 0 $a Statistical studies of genomics data.
300 $a 104 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-11, Section: B, page: 5811.
500 $a Chairs: Zhao-Bang Zeng; Bruce B. Weir.
502 $a Thesis (Ph.D.)--North Carolina State University, 2005.
520 $a In recent years, studies on Genetics and Genomics have become one of the most active fields in science. The Genetic and Genomics data have several significant and unique characteristics that bring great challenges for data analysis. Three statistical studies have been presented in this dissertation. In chapter 1, an empirical Bayesian approach has been developed in a linear mixed model for microarry data analysis. In chapter 2, a multiple order Markov chain model is applied to summarize the local correlation patterns among multiple genetic markers in linkage disequilibrium mapping. In chapter 3, a shrinkage method is being developed to integrate biological prior knowledge presented in moment statistics. This new method may be useful in some genetic network studies.
590 $a School code: 0155.
650 4 $a Statistics. $3 517247
650 4 $a Biology, Biostatistics. $3 1018416
650 4 $a Biology, Genetics. $3 1017730
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710 2 0 $a North Carolina State University. $3 1018772
773 0 $t Dissertation Abstracts International $g 65-11B.
790 1 0 $a Zeng, Zhao-Bang, $e advisor
790 1 0 $a Weir, Bruce B., $e advisor
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791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3154200