TITLE:

AN OVERVIEW OF STATISTICAL METHODS IN cDNA MICROARRAY DATA ANALYSIS

DATE:

Friday, May 2nd, 2008

TIME:

3:30 PM

LOCATION:

GMCS 214

SPEAKER:

Chao-Jen Wong, Postdoctoral Researcher, Computational Science Research Center, San Diego State University

ABSTRACT:

During the last decade, there has been a rapid expansion of knowledge in the fields of computational biology, systems biology, and bioinformatics. A new tool in these exciting new sciences, microarray techniques have emerged and hold a great promise in understanding the underlying biology and function of genomes in a global manner. The challenge of analyzing gene expression data with large dimensionality has led to interdisciplinary investigations between molecular biology and statistics. In this talk, I present (i) an overview of the development of statistical methods in microarray data analysis, particularly empirical Bayes, (ii) the methods for Gene Ontology (GO) and canonical KEGG pathway analysis, and (iii) profiles of the gene expression data obtained from neonatal rat heart cells in response to anti-diabetic rosiglitazone treatment.

HOST:

Jose Castillo

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