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).
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.
|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|
|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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