Description:

Department of Statistics Fall 2019 Seminar Series

Talk Title: A Parallel-Oriented Method to Understand Gene Transcriptional Network Architectures

Speaker: Dabao Zhang - Associate Professor of Statistics, Purdue University

Time: 11:00am

Abstract: Genetical genomics couples genomic and transcriptomic techniques, and holds great promises in translational and clinical research by revealing gene interaction architectures and understanding functional properties of genomic control program in biological systems. However, its utility has been compromised by lack of effective methodologies to integratively analyze a variety of omics data. We propose a two-stage penalized least squares (2SPLS) method to build a large system of structural equations which models the entire gene regulatory network in an organism. This method is computationally fast as it parallelly fits linear models at each stage, with one for each gene. The whole system can be constructed with bounded errors via consistent estimation of a set of conditional expectations at the first stage, and consistent selection of regulatory effects at the second stage. We also demonstrate its effectiveness via simulation studies and real data analysis.

Location: Department of Statistics, Room B02, 2006 Sheridan Rd, Evanston 60208