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University of Cambridge > Talks.cam > Statistics > Probabilistic Expert Systems for Handling Artifacts in Complex DNA Mixtures
Probabilistic Expert Systems for Handling Artifacts in Complex DNA MixturesAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Richard Nickl. This talk has been canceled/deleted This paper presents a coherent probabilistic framework for taking account of allelic dropout, stutter bands and silent alleles when interpreting STR DNA profiles from a mixture sample using peak size information arising from a PCR analysis. It extends an earlier Bayesian network approach that ignored such artifacts. We illustrate the use of the extended network on a published casework example. This is joint work with R. G. Cowell and S. L. Lauritzen This talk is part of the Statistics series. This talk is included in these lists:This talk is not included in any other list Note that ex-directory lists are not shown. |
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