Statistical Methods for Human Genomic Research

Yulan Liang, Ph.D.
* Candidate for Faculty Position in the Biostatistical Design and Analysis Center
Department of Biostatistics
University at Buffalo, SUNY

Monday, October 1, 2007
12:15pm
MoosT 2-520
Minneapolis Campus

Abstract:

In this talk I will first summarize my recent research interests in statistical genomics and bioinformatics, including some methodology developments and applications. Then I will provide a specific overview of several of my recent projects, which includes 1) Weighted logistic regression method for genetic association studies in admixed populations; 2) Differential and trajectory methods for time course gene expression data with application to multiple sclerosis patients with IFN-b-1a treatment; 3) Bayesian dynamic multivariate models for predicting temporal gene expression profiles and constructing gene networks. Besides model and algorithm overview, I will demonstrate the potentials of the proposed approaches with both simulation studies and applications to detailed complex disease genomic data sets.

All are Welcome.
Lunch will be provided for the first 30 attendees.