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SUMMARY:Modeling cancer evolution from genomic data - Beerenwinkel\, Niko\
 , Prof. Dr.
DTSTART:20170113T161500Z
DTEND:20170113T171500Z
UID:TALK69886@talks.cam.ac.uk
CONTACT:46487
DESCRIPTION:Cancer progression is an evolutionary process characterized by
  the accumulation of mutations and responsible for tumor growth\, clinical
  progression\, and drug resistance development. Evolutionary theory can be
  used to describe the dynamics of tumor cell populations and to make infer
 ence about the evolutionary history of a tumor from molecular profiling da
 ta. We present recent approaches to modeling the evolution of cancer\, inc
 luding population genetics models of tumorigenesis\, phylogenetic methods 
 of intra-tumor subclonal diversity\, and probabilistic graphical models of
  tumor progression\, and we discuss their relevance for personalized medic
 ine in general and for precision oncology in particular.
LOCATION:CRUK CI Room 215A/B
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