Automated estimation of the number of contributors in autosomal short tandem repeat profiles using a machine learning approach-Reference-Cited by-同舟云学术

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Automated estimation of the number of contributors in autosomal short tandem repeat profiles using a machine learning approach

Published:2019-11 Issue: Volume:43 Page:102150
ISSN:1872-4973
Container-title:Forensic Science International: Genetics
language:en
Short-container-title:Forensic Science International: Genetics

Author:

Benschop Corina C.G.,van der Linden Jennifer,Hoogenboom Jerry,Ypma Rolf,Haned Hinda

Funder

European Union’s Internal Security Fund — Police

Publisher

Elsevier BV

Subject

Genetics,Pathology and Forensic Medicine

Reference54 articles.

1. The German Stain Commission: recommendations for the Interpretation of mixed stains;Schneider;Int. J. Legal Med.,2009

2. A practical model to explain results of comparative DNA testing in court;Meulenbroek;Forensic Sci. Int. Genet. Supplement Series,2011

3. Genotyping and interpretation of STR-DNA: low-template, mixtures and database matches—twenty years of research and development;Gill;Forensic Sci. Int. Genet.,2015

4. DNA commission of the International Society of Forensic Genetics: recommendations on the interpretation of mixtures;Gill;Forensic Sci. Int.,2006

5. Likelihood ratios for mixed stains when the number of donors cannot be agreed;Brenner;Int. J. Legal Med.,1996

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2. Machine learning applications in forensic DNA profiling: A critical review;Forensic Science International: Genetics;2024-03

3. Using simulated microhaplotype genotyping data to evaluate the value of machine learning algorithms for inferring DNA mixture contributor numbers;Forensic Science International: Genetics;2024-03

4. Application of SNPs with low minor allele frequencies in missing person identification (MPI) through kinship analysis of DNA mixtures;ELECTROPHORESIS;2023-07-16

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