Journal
THEORETICAL POPULATION BIOLOGY
Volume 63, Issue 3, Pages 191-205Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/S0040-5809(03)00006-6
Keywords
Bayesian network; DNA mixture; DNA profile; forensic identification; PES; silent allele
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We show how probabilistic expert systems can be used to structure and solve complex cases of forensic identification involving DNA traces that might be mixtures of several DNA profiles. In particular, this approach can readily handle cases where the number of contributors to the mixture cannot be regarded as known in advance. The flexible modularity of the networks used also allows us to handle still more complex cases, for example where the finding of a mixed DNA trace is compounded by such features as missing individuals or the possibility of unobserved alleles. (C) 2003 Elsevier Science (USA). All rights reserved.
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