BDI Seminar: Variable Selection and Dimension Reduction methods for Omics Datasets

In recent years, new technologies have allowed researchers to perform multiple assays on the same set of patient samples. Typically these datasets contain observations of: genes (genomics), mRNA (transcriptomics), proteins (proteomics) and metabolites (metabolomics) and collectively are known as ‘Omics’ datasets. In this talk, I will discuss my research developing new methods in Bayesian and frequentist methodology for incorporating variable selection and dimension reduction for high dimensional Omics dataset.