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Journal article

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 extended network on a published casework example.
Publication status:
Published

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Journal:
Forensic science international. Genetics
Volume:
5
Issue:
3
Pages:
202-209
Publication date:
2011-06-01
DOI:
EISSN:
1878-0326
ISSN:
1872-4973
Source identifiers:
97504
Language:
English
Keywords:
Pubs id:
pubs:97504
UUID:
uuid:dbcd59d8-249b-402d-af20-f2b005dbc0b5
Local pid:
pubs:97504
Deposit date:
2012-12-19

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