Author

Maochang Qin

Date of Award

1-2011

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Statistics

Supervisor

Narayanaswamy Balakrishnan

Co-Supervisor

Changchun Xie

Language

English

Abstract

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.

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