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SUMMARY:Bayesian inference of genetic epistasis in case-control studies - 
 Professor Jun Liu (Harvard)
DTSTART:20080304T170000Z
DTEND:20080304T180000Z
UID:TALK8786@talks.cam.ac.uk
CONTACT:Helen Innes
DESCRIPTION:I will discuss a Bayesian approach to detect multi-locus inter
 actions (Epistasis) for both case-control association studies and an un-su
 pervised scenario.  Existing methods are either of low power or computatio
 nally infeasible when facing a large number of genetic markers\, and somet
 imes also many quantitative traits.  Aided with MCMC sampling techniques\,
  our Bayesian method can efficiently detect interactions among many thousa
 nds of markers.  This method can be generalized to deal with classificatio
 n problems.  I will also discuss the issue of statistical significance in 
 this situation.\n\n\n\n
LOCATION:Wolfson Room (MR 2) Centre for Mathematical Sciences\, Wilberforc
 e Road\, Cambridge
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