Machine Learning-Based Method for Obesity Risk Evaluation Using Single-Nucleotide Polymorphisms Derived from Next-Generation Sequencing-Reference-Cited by-同舟云学术

Machine Learning-Based Method for Obesity Risk Evaluation Using Single-Nucleotide Polymorphisms Derived from Next-Generation Sequencing

Author:

Wang Hsin-Yao¹²,Chang Shih-Cheng¹³,Lin Wan-Ying⁴,Chen Chun-Hsien⁵,Chiang Szu-Hsien¹,Huang Kai-Yao⁶,Chu Bo-Yu⁷,Lu Jang-Jih¹³,Lee Tzong-Yi⁷⁸⁹

Affiliation:

1. Department of Laboratory Medicine, Chang Gung Memorial Hospital, Taoyuan City, Taiwan.

2. Ph.D. Program in Biomedical Engineering, Chang Gung University, Taoyuan City, Taiwan.

3. Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan City, Taiwan.

4. Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Taoyuan City, Taiwan.

5. Department of Information Management, Chang Gung University, Taoyuan City, Taiwan.

6. Department of Medical Research, Hsinchu Mackay Memorial Hospital, Hsinchu City, Taiwan.

7. Department of Computer Science and Engineering, Yuan Ze University, Taoyuan City, Taiwan.

8. Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, China.

9. School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

Reference47 articles.

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