Exploring gene–gene interaction in family‐based data with an unsupervised machine learning method: EPISFA-Reference-Cited by-同舟云学术

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Exploring gene–gene interaction in family‐based data with an unsupervised machine learning method: EPISFA

Published:2020-09 Issue:8 Volume:44 Page:811-824
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genetic Epidemiology

Author:

Xiang Xiao¹,Wang Siyue¹^ORCID,Liu Tianyi²,Wang Mengying¹,Li Jiawen³,Jiang Jin¹,Wu Tao¹,Hu Yonghua¹

Affiliation:

1. Department of Epidemiology and Biostatistics, School of Public Health Peking University Beijing China

2. Department of Epidemiology and Biostatistics, School of Public Health Capital Medical University Beijing China

3. Department of Clinical Medicine, School of Medicine Peking University Beijing China

Funder

National Science Foundation

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.22342

Reference61 articles.

1. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment.

2. APOL1, CDKN2A/CDKN2B, and HDAC9 polymorphisms and small vessel ischemic stroke

3. Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association

4. A cautionary note on the impact of protocol changes for genome-wide association SNP × SNP interaction studies: an example on ankylosing spondylitis

5. From single drug targets to synergistic network pharmacology in ischemic stroke

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