The analogy between DNA kinship and DNA mixture evaluation, with applications for the interpretation of likelihood ratios produced by possibly imperfect models-Reference-Cited by-同舟云学术

The analogy between DNA kinship and DNA mixture evaluation, with applications for the interpretation of likelihood ratios produced by possibly imperfect models

Published:2021-05 Issue: Volume:52 Page:102449
ISSN:1872-4973
Container-title:Forensic Science International: Genetics
language:en
Short-container-title:Forensic Science International: Genetics

Author:

Slooten Klaas

Publisher

Elsevier BV

Subject

Genetics,Pathology and Forensic Medicine

Reference21 articles.

1. The interpretation of single source and mixed DNA profiles;Taylor;Forensic Sci. Int.: Genet.,2013

2. Developmental validation of STRmix, expert software for the interpretation of forensic DNA profiles;Bright;Forensic Sci. Int.: Genet.,2016

3. Internal validation of STRmix? A multi laboratory response to PCAST;J.-A.B;Forensic Sci. Int.: Genet.,2018

4. Exclusion probabilities and likelihood ratios with applications to mixtures;Slooten;Int. J. Legal Med.,2016

5. Analysis of forensic DNA mixtures with artefacts;Cowell;J. R. Stat. Soc. Ser. C (with discussion),2014

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Single-cell investigative genetics: Single-cell data produces genotype distributions concentrated at the true genotype across all mixture complexities;Forensic Science International: Genetics;2024-03

2. Analysis of the Hamiltonian Monte Carlo genotyping algorithm on PROVEDIt mixtures including a novel precision benchmark;Forensic Science International: Genetics;2023-05

3. Analysis of the Hamiltonian Monte Carlo genotyping algorithm on PROVEDIt mixtures including a novel precision benchmark;2022-08-29

4. A Review of Probabilistic Genotyping Systems: EuroForMix, DNAStatistX and STRmix™;Genes;2021-09-30

5. Evaluating DNA evidence possibly involving multiple (mixed) samples, common donors and related contributors;Forensic Science International: Genetics;2021-09