JSM 2005 - Toronto

Abstract #302813

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 470
Type: Invited
Date/Time: Thursday, August 11, 2005 : 8:30 AM to 10:20 AM
Sponsor: WNAR
Abstract - #302813
Title: Integrated Statistical Modeling of Gene Expression Data
Author(s): Hongyu Zhao*+
Companies: Yale University
Address: 60 College Street, New Haven, CT, 06520-8034, United States
Keywords:
Abstract:

Recent advances in large-scale RNA expression measurements, DNA- protein interactions, and the availability of genome sequences from many organisms have opened the opportunity for massively parallel biological data acquisition and integrated understanding of the genetic networks underlying complex biological phenotypes. Many existing statistical procedures have been proposed to analyze a single data type (e.g., clustering algorithms for microarray data and motif finding methods for sequence data). However, different data sources offer different perspectives on the same underlying system and they can be combined to increase the chance of uncovering underlying biological mechanisms. In this talk, we will describe our attempts to develop a statistical framework to integrate diverse genomics and proteomics information to dissect transcriptional regulatory networks. The developed methods will be illustrated through their applications in the reconstruction of transcription networks during yeast cell cycle, as well as their potential use in genetic linkage analysis. This is joint work with Ning Sun, Baolin Wu, Liang Chen, and Nanlin.

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Revised March 2005