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Colloquia Archive
Untitled Document
| DATE: |
Friday, May 2nd, 2008 |
| TITLE: |
AN OVERVIEW OF STATISTICAL METHODS IN cDNA MICROARRAY DATA
ANALYSIS |
| 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 E. Castillo |
| DOWNLOAD: |
Not Yet Available |
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Computational Science Research Center :: 5500 Campanile Drive :: San Diego, CA 92182-1245 :: (619) 594-3430
©2007 Computational Science Research Center, SDSU - All rights
reserved.
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Last
updated:
February 21, 2008 8:38 AM
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