<scp>mitoDataclean</scp> : A machine learning approach for the accurate identification of cross‐contamination‐derived tumor mitochondrial <scp>DNA</scp> mutations-Reference-Cited by-同舟云学术

mitoDataclean : A machine learning approach for the accurate identification of cross‐contamination‐derived tumor mitochondrial DNA mutations

Published:2022-01-31 Issue:10 Volume:150 Page:1677-1689
ISSN:0020-7136
Container-title:International Journal of Cancer
language:en
Short-container-title:Intl Journal of Cancer

Author:

Su Liping¹,Guo Shanshan¹,Guo Wenjie¹,Ji Xiaoying¹,Liu Yang¹,Zhang Huanqin²,Huang Qichao¹^ORCID,Zhou Kaixiang¹,Guo Xu¹,Gu Xiwen³,Xing Jinliang¹^ORCID

Affiliation:

1. State Key Laboratory of Cancer Biology and Department of Physiology and Pathophysiology Fourth Military Medical University Xi'an China

2. College of Medical Technology Shaanxi University of Chinese Medicine Xianyang China

3. Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology Xi'an Jiaotong University Xi'an China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cancer Research,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ijc.33927

Reference34 articles.

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5. Mitochondrial DNA haplogroup M7 confers a reduced risk of colorectal cancer in a Han population from northern China

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