Application of machine learning for ancestry inference using multi-InDel markers-Reference-Cited by-同舟云学术

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Application of machine learning for ancestry inference using multi-InDel markers

Published:2022-07 Issue: Volume:59 Page:102702
ISSN:1872-4973
Container-title:Forensic Science International: Genetics
language:en
Short-container-title:Forensic Science International: Genetics

Author:

Sun Kuan,Yao Yining,Yun Libing,Zhang Chen,Xie Jianhui,Qian Xiaoqin,Tang Qiqun,Sun Luming

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Genetics,Pathology and Forensic Medicine

Reference82 articles.

1. Skin pigmentation, biogeographical ancestry and admixture mapping;Shriver;Hum. Genet.,2003

2. Mexican American ancestry-informative markers: examination of population structure and marker characteristics in European Americans, Mexican Americans, Amerindians and Asians;Collins-Schramm;Hum. Genet.,2004

3. Informativeness of genetic markers for inference of ancestry;Rosenberg;Am. J. Hum. Genet.,2003

4. Genetic admixture and asthma-related phenotypes in Mexican American and Puerto Rican asthmatics;Salari;Genet. Epidemiol.,2005

5. Population genetic structure of variable drug response;Wilson;Nat. Genet.,2001

Cited by 7 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. Ancestry analysis using a self-developed 56 AIM-InDel loci and machine learning methods;Forensic Science International;2024-08

2. Using a self-developed panel to explore its performance for biogeographic ancestry inference and analyze the genetic background of three Tibetan groups;2024-06-06

3. Investigating the effectiveness of forensic genetics and population genetic diversity using a multi‐InDel system in Chinese Hezhou and Southern Shaanxi Han populations;Annals of Human Genetics;2024-05-20

4. Joint application of A-InDels and miniSTRs for forensic personal, full and half sibling identifications, and genetic differentiation analyses in two populations from China;BMC Genomics;2024-04-02

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

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