Stochastic models of cancer: An update of theory and data
Monday, June 14 at 09:30am (PDT)Monday, June 14 at 05:30pm (BST)Tuesday, June 15 01:30am (KST)
Marek Kimmel (Rice University, United States), Simon Tavare (Columbia University, United States)
Much has been learned recently about mechanisms of cancer progression, as well as about cancer stochasticity at the molecular and population level, and about interaction of tumors with normal cells of the organism. These developments prompted progress in mathematical, computational and statistical models and tools. This mini-symposium brings together a diverse group of representatives of several leading institutions who will discuss their recent work. Topics range from branching processes and cellular automata, to mathematical models of mutation, genetic drift and selection, immune infiltration of tumors, and evolutionary dynamics of specific types of cancer. They also include statistical methods, such as cancer phylodynamics. The organizers hope these will provide inspiration for further work in the area.