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SUMMARY:Combinatorics and Cancer - Prof Simon Tavaré
DTSTART:20130304T203000Z
DTEND:20130304T213000Z
UID:TALK42839@talks.cam.ac.uk
CONTACT:Mary Fortune
DESCRIPTION:It is difficult to follow the evolution of a cancer over large
  numbers of cell divisions. Instead of using direct measurements\, it is p
 ossible to infer features of this evolution from indirect measurements suc
 h as patterns of mutations in the tumour. I will give an overview of two s
 tochastic processes that arise in understanding tumour heterogeneity\, the
  spatial structure of mutations in tumour cells. Time allowing\, I will de
 scribe how Approximate Bayesian Computation can be used for inference in t
 his setting. Biological context will be provided!
LOCATION:Winstanley Lecture Theatre\, Trinity College
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