Date of Award
Master of Science in Computational Biology - (M.S.)
Usman W. Roshan
Sunil Kumar Dhar
Support vector machines (SVM) have been used to improve the ranking of single nucleotide polymorphisms (SNPs) over traditional chi-square tests in disease case studies . In this investigation, ranking SNPs with support vector regression (SVR) was compared to the Wald test in predicting continuous phenotypes. SVR-ranked SNPs consistently outperformed the Wald test-ranked SNPs to provide a more accurate prediction of the phenotype with fewer SNPs across several methods of prediction.
Shahidain, Seif, "Ranking single nucleotide polymorphisms with support vector regression in continuous phenotypes" (2011). Theses. 95.