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|Title:||Variable Selection Methods for Population-based Genetic Association Studies: SPLS and HSIC|
|Keywords:||Statistics and Probability;Statistics and Probability|
|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>|
|Appears in Collections:||Open Access Dissertations and Theses|
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