Probabilistic modelling for DNA mixture analysis
Research output: Contribution to journal › Journal article › Research › peer-review
Taking peak area information into account when analysing STR DNA mixtures is acknowledged to be a difficult task. There have been a number of non-probabilistic approaches proposed in the literature, and some have been incorporated into computer systems, but comparatively little has been published from a probabilistic perspective. Here we briefly review our previous work on using Bayesian networks to analyse two-person mixtures within a probabilistic framework, and present preliminary results obtained for analysing two-person and three-person mixtures that combine peak area information from multiple independent samples.
Original language | English |
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Journal | Forensic Science International: Genetics Supplement Series |
Volume | 1 |
Issue number | 1 |
Pages (from-to) | 640-642 |
Number of pages | 3 |
ISSN | 1875-1768 |
DOIs | |
Publication status | Published - 1 Aug 2008 |
- Bayesian networks, DNA mixtures, Multiple contributors, Multiple traces
Research areas
ID: 218403196