This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 384
Type: Invited
Date/Time: Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #306034
Title: Issues in Model Emulation/Evaluation in Dynamic Network Studies in Systems Biology
Author(s): Mike West*+
Companies: Duke University
Address: Department of Statistical Science, Durham, NC, 27708-0251,
Keywords: Bayesian analysis ; Computer model emulation ; Dynamic cellular networks ; Flow cytometry data ; Gene networks ; Systems biology

Much interest (and hype) exists in the area of dynamic cellular network modelling in systems biology. To date, advances have been hindered by the lack of ability to generate rich time course data, and in many cases any useful data at all on more than a very small number of network nodes (genes, proteins). This will change in the coming decade with advances in biotechnology. What is currently accessible is data on marginal distributions of a few nodes at "snapshots" in time - e.g., steady-states under experimental growth conditions - in small cellular systems. This provides opportunities for formal statistical model evaluation, including computer model emulation approaches to link mechanistic mathematical models of network dynamics to snapshot data. Statistical issues and examples will be discussed.

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