January 22, 2004

 

Christos Hatzis
 

Vice President, Technology

Silico Insights, Inc.

Woburn, MA

 

http://www.silicoinsights.com/


 

"Challenges and Opportunities for Big Science: From Gene Expression to Disease Pathway Characterization"

 

Abstract

 

Among the key trends emerging in the post-genomic era are (1) evolution of gene expression technologies from laboratory tools to clinical assay platforms, (2) integration of genomic and proteomic data with prior biochemical knowledge to characterize biological response, and (3) mapping protein-protein interaction networks onto protein-based events and interactions with gene regulation to build disease-specific response pathways.  Genomic and post-genomic technologies extend over a broad spectrum of applications ranging from biomarker discovery for disease diagnosis and prognosis to therapeutic target prediction and toxicological prediction of therapeutic compounds.  We will discuss recent advances and challenges that have emerged in the above fields using examples from internal research programs.  Since to a large extend the analytical approaches used today are of empirical nature, emphasis will be given on statistical design and analysis methodology.  Methodological advances in the field of pattern recognition with applications to diagnostics will be highlighted.  Finally, developments from the field of network analysis that could serve as a framework for the new quantitative biology will be discussed.

 


Room: 1064 Duncan Hall . Time: 2:30 PM

For more information contact:
Department of Chemical Engineering, Rice University
ceng@rice.edu . (713) 348-4902


Back to Main Seminar Page