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Probabilistic expert systems for handling artifacts in complex DNA mixtures

Abstract:

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. This information can be exploited for evaluating the evidential strength for a hypothesis that DNA from a particular person is present in the mixture. It extends an earlier Bayesian network approach that ignored such artifacts. We illustrate the use of the...

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
Journal:
Forensic Science International: Genetics
Volume:
5
Issue:
3
Pages:
202-209
Publication date:
2011-06-01
DOI:
ISSN:
1872-4973
Source identifiers:
139101
Language:
English
Keywords:
Pubs id:
pubs:139101
UUID:
uuid:717f754f-d5c6-4d81-9fb2-1d2c3a31c773
Local pid:
pubs:139101
Deposit date:
2012-12-20

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