JSM 2005 Online Program

Abstract #302426

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	215
Type:	Invited
Date/Time:	Tuesday, August 9, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Statistical and Applied Mathematical Sciences Institute
Abstract - #302426
Title:	Multiple Scales and Hidden Variables in Immunological Modeling
Author(s):	Thomas B. Kepler*+
Companies:	Duke University
Address:	DUMC 90090, Durham, NC, 27708,
Keywords:	dynamical system ; biology ; immunology
Abstract:	The human immune system is composed of an enormous variety of cell types communicating through hundreds of soluble signaling molecules and through direct mutual engagement of surface ligand-receptor pairs. Significant events occur at scales from the molecular---with signal transduction and transcriptional regulation---up to the whole organism, and indeed, to the whole population of hosts and pathogens. In any given experiment or set of linked experiments, only a fraction of the relevant variables can be measured. In this paper, we develope methods for the analysis of large, heterogeneous immunological datasets. These techniques involve, among other things, the use of hidden dynamic degrees of freedom, postulated from knowledge of the biological underpinnings of the process and estimated as latent variables. We will describe these techniques and illustrate them with several examples using gene expression data, somatic genetic data, and flow-cytometric data.

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