American Statistical Association
New York City
Metropolitan Area Chapter

Mailman School of Public Health
Columbia University
Department of Biostatistics Colloquium



HIERARCHICAL MODELS FOR SIGNAL TRANSDUCTION
PATHWAY ANALYSIS FROM SINGLE CELL MEASUREMENTS

by

Professor Hongyu Zhao
Department of Biostatistics
Yale University


Abstract

Recent technological advances have made it possible to simultaneously measure multiple protein activities at the single cell level. In contrast to measurements based on aggregated cells, e.g. gene expression analysis from microarrays, single cell-based measures provide much richer information on the cell states and signaling networks. In this presentation, we discuss a hierarchical model for signaling network reconstruction based on single cell measurements. This modeling framework can effectively pool information from different perturbation experiments and the network sparsity is also explicitly modeled. We will describe the Monte Carlo Markov Chain method for model inference. Simulation results demonstrate the superiority of the hierarchical approach. The usefulness of our model will also be illustrated through its application to the intracellular signaling networks of human primary naive CD4+ T cells, downstream of CD3, CD28, and LFA-1 activation.


Date: Thursday, October 2, 2008
Time: 4:00 - 5:00 P.M.
Location: Mailman School of Public Health
Department of Biostatistics
722 West 168th Street
Biostatistics Computer Lab
6th Floor - Room 656
New York, New York

RESERVATIONS ARE NOT REQUIRED

Refreshments will be served at 3:30 P.M. in the
Biostatistics Conference Room (R627).


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