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SUMMARY:Probabilistic Expert Systems for Handling Artifacts in Complex DNA
  Mixtures - Julia  Mortera (University of  Roma Tre)
DTSTART:20091021T150000Z
DTEND:20091021T160000Z
UID:TALK20689@talks.cam.ac.uk
CONTACT:Richard Nickl
DESCRIPTION:This paper presents a coherent probabilistic framework for tak
 ing  account\nof allelic dropout\, stutter bands and silent alleles when\n
 interpreting short tandem repeat  DNA profiles from a mixture sample using
 \npeak size information. This information can be exploited to make\ninfere
 nces regarding the genetic profiles of unknown contributors to the\nmixtur
 e\, or for evaluating the evidential strength for a\nhypothesis that DNA f
 rom a particular person is present in the mixture.It\nextends an earlier B
 ayesian network approach  that ignored\nsuch artifacts. We illustrate the 
 use of the extended network on a published\ncriminal casework example.\nTh
 is is joint work with R. G.  Cowell and S. L. Lauritzen\n 
LOCATION:MR4\, CMS\, Wilberforce Road\, Cambridge\, CB3 0WB
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