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Department of Mathematics,
University of California San Diego

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Math 288 - Probability and Statistics Seminar

Natalia Komarova

University of California, Irvine

Stochastic modeling of cancer

Abstract:

Even though much progress has been made in mainstream experimental cancer research at the molecular level, traditional methodologies alone are sometimes insufficient to resolve important conceptual issues in cancer biology. In this talk, I will describe mathematical tools which help obtain new insights into the processes of cancer initiation, progression and treatment. The main idea is to study cancer as an evolutionary dynamical system on a selection-mutation network. I will discuss the following topics: Stem cells and tissue architecture; Stem cells and aging, and Drug resistance in CML.

Host: Jason Schweinsberg

April 16, 2009

10:00 AM

AP&M 6402

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