From sub-source to source: Interpreting results of biological trace investigations using probabilistic models

Authors
Publication date 12-2015
Journal Forensic Science International. Genetics Supplement Series
Volume | Issue number 5
Pages (from-to) e590-e591
Number of pages 2
Organisations
  • Faculty of Science (FNWI) - Korteweg-de Vries Institute for Mathematics (KdVI)
Abstract The current method of reporting a putative cell type is based on a non-probabilistic assessment of test results by the forensic practitioner. Additionally, the association between donor and cell type in mixed DNA profiles can be exceedingly complex. We present a probabilistic model for interpretation of cell typing results. This Bayesian network can be used by forensic practitioners to form a substantiated opinion about the cellular material(s) that a sample is composed of and about the attribution of DNA donor to cell type.
Document type Article
Note In special issue: Proceedings of the 26th International ISFG congress.
Language English
Published at https://doi.org/10.1016/j.fsigss.2015.09.233
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