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Statistical methods for biological a...

Jung, Min Kyung.

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Statistical methods for biological applications.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Statistical methods for biological applications./
Author:	Jung, Min Kyung.
Description:	88 p.
Notes:	Adviser: Elizabeth A. Housworth.
Contained By:	Dissertation Abstracts International68-10B.
Subject:	Biology, Bioinformatics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3278454
ISBN:	9780549235477

Statistical methods for biological applications.
Jung, Min Kyung.

Statistical methods for biological applications. - 88 p.

Adviser: Elizabeth A. Housworth.

Thesis (Ph.D.)--Indiana University, 2007.

My thesis consists of four distinct statistical issues occurring in biology. Each chapter discusses one issue at length and provides the code needed to implement the statistical methodology.

ISBN: 9780549235477Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Statistical methods for biological applications.
LDR:02512nam 2200373 a 45 001 963636
005 20110831
008 110831s2007 ||||||||||||||||| ||eng d
020 $a 9780549235477
035 $a (UMI)AAI3278454
035 $a AAI3278454
040 $a UMI $c UMI
100 1 $a Jung, Min Kyung. $3 1286698
245 1 0 $a Statistical methods for biological applications.
300 $a 88 p.
500 $a Adviser: Elizabeth A. Housworth.
500 $a Source: Dissertation Abstracts International, Volume: 68-10, Section: B, page: 6740.
502 $a Thesis (Ph.D.)--Indiana University, 2007.
520 $a My thesis consists of four distinct statistical issues occurring in biology. Each chapter discusses one issue at length and provides the code needed to implement the statistical methodology.
520 $a Chapter 1 deals with testing the randomness of gene duplications in the genome of a specific fern species. Standard Chi-square testing does not apply because the expected cell counts are too low and because gene duplicates place unique restrictions on the table. We develop and discuss appropriate methods for handling these issues in this biological context.
520 $a Chapter 2 deals with developing the appropriate multivariate test to determine if there is segregation distortion along the chromosomes of the same fern species. Methods for determining the locations contributing to the segregation distortion are discussed as well.
520 $a Chapter 3 deals with developing a pooled-variance estimator for hypothesis testing using cDNA microarrays. Such methods were previously developed for oglionucleotide arrays and the chapter discusses the problems of extending these results to cDNA arrays as well as presenting a statistical technique appropriate to the new problem.
520 $a Chapter 4 deals with correcting the bias in Tajima's D statistic, a popular statistic in Biology used for detecting selection under the assumption of constant population sizes and detecting changes in population sizes under the assumption of neutral gene evolution.
590 $a School code: 0093.
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Biology, Genetics. $3 1017730
650 4 $a Statistics. $3 517247
690 $a 0369
690 $a 0463
690 $a 0715
710 2 $a Indiana University. $b Mathematics. $3 1036206
773 0 $t Dissertation Abstracts International $g 68-10B.
790 $a 0093
790 1 0 $a Andersson, Steen $e committee member
790 1 0 $a Housworth, Elizabeth A., $e advisor
790 1 0 $a Martins, Emilia $e committee member
790 1 0 $a Sternberg, Peter $e committee member
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3278454