Statistical Modeling of Pathways and Networks for Genomic Applications

Hongzhe Li
Professor of Biostatistics
University of Pennsylvania School of Medicine

Wednesday, March 1st
3:30pm
Moos 2-620
Minneapolis Campus

Abstract:

Cell phenotypes are determined by the differential activity of networks/pathways linking genes in a concerted way. Genome-wide expression data provide a possibility of understanding the complex networks that regulates the expression of genes controlling common functions and how such networks affect pathologic phenotypes. In this talk, I present two genomic problems related to analysis of networks and pathways. First, I present a threshold gradient descent regularization procedure for estimating sparse Gaussian graphs and demonstrate its application to construction of genetic networks. Second, I present a pathway-based gradient descent boosting procedure for non-parametric pathways-based regression in order to identify pathways or gene sets that are related to clinical phenotypes. I present results from analysis of a gene expression data set on construction of isoprenoid pathways in Arabidopsis thaliana and a gene expression data set on identification of pathways related to cancer recurrence among lymph-node negative primary breast cancer patients.

A social tea will be held at 3:00P.M. in A434 Mayo. All are Welcome.
For more details contact 612-624-4655 or see http://www.biostat.umn.edu/seminar_academic.html