Dr. Yu Shyr received his PhD in biostatistics from University of Michigan (Ann Arbor) in 1994 and subsequently joined the faculty at Vanderbilt University School of Medicine. At Vanderbilt, he has collaborated on numerous research projects; assisted investigators in developing clinical research protocols; collaborated on multiple grants funded through external peer-reviewed mechanisms; and developed biostatistical and bioinformatic methodologies for clinical trial design, high-dimensional data preprocessing, estimating relative potency in a parallel line bioassay, and other statistical and bioinformatic approaches, published in journals such as Statistics in Medicine, Bioinformatics, Clinical Trials, Computational Statistics and Data Analysis, BMC Bioinformatics, and Journal of Bioinformatics and Computational Biology in the last three years.
Major Research Areas
Current Research
Dr. Shyr’s current research interests lie in developing and analyzing predictive models of the statistical relationships between multiple-variable protein and next generation sequencing data and clinical endpoints using both supervised and unsupervised classification and pattern recognition approaches, which focus on analyses of gene expression array and protein expression profile data to identify the molecular “fingerprint” of different types of cancers.
