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Representing and solving complex DNA identification cases using Bayesian networks

Dawid, AP; Mortera, J; Vicard, P; (2006) Representing and solving complex DNA identification cases using Bayesian networks. In: Amorim, A and Corte-Real, F and Morling, N, (eds.) International Congress Series. (pp. 484 - 491). Elsevier: Amsterdam.

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Abstract

13-16 September 2005. Object-oriented Bayesian networks (OOBNs) can be used to model and solve a wide variety of complex forensic DNA identification problems, involving such complications as missing individuals, mutation, and null alleles. We provide a brief overview of the approach and illustrate its use. In particular, we investigate the effect on paternity ratios of allowing for silent alleles, and show that this can be substantial even when the probability of silence is very small.

Type:Proceedings paper
Title:Representing and solving complex DNA identification cases using Bayesian networks
Event:21st International Congress of the International Society for Forensic Genetics
Dates:2005-09-13 - 2005-09-16
DOI:10.1016/j.ics.2005.09.115
Keywords:Bayesian network, DNA profile, Missed allele, Mutation, Null allele, Object-oriented, Paternity testing, Silent allele
UCL classification:UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Statistical Science

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