Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/9165
Title: | Variable Selection Methods for Population-based Genetic Association Studies: SPLS and HSIC |
Authors: | Qin, Maochang |
Advisor: | Balakrishnan, Narayanaswamy Xie, Changchun |
Department: | Statistics |
Keywords: | Statistics and Probability;Statistics and Probability |
Publication Date: | 2011 |
Abstract: | <p>This project aims to identify the single nucleotide polymorphisms(SNPs), which are associated with the muscle size and strength in Caucasian. Two methods sparse partial least squares (SPLS) and sparse Hilbert-Schmidt independence criterion (HSIC) were applied for dimension reduction and variables selection in the Functional SNPs Associated with Muscle Size and Strength(FAMuss) Study. The selection ability of two methods was compared by simulations. The genetic determinants of skeletal muscle size and strength before and after exercise training in Caucasian were selected by using these two methods.</p> |
URI: | http://hdl.handle.net/11375/9165 |
Identifier: | opendissertations/4312 5330 2039571 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Size | Format | |
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fulltext.pdf | 2.2 MB | Adobe PDF | View/Open |
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