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Article

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

Journal of computational biology : a journal of computational molecular cell biology - 1 Dec 2018

Wang Hsin-Yao, Chang Shih-Cheng, Lin Wan-Ying, Chen Chun-Hsien, Chiang Szu-Hsien, Huang Kai-Yao, Chu Bo-Yu, Lu Jang-Jih, Lee Tzong-Yi

Abstract excerpt

Obesity is a major risk factor for many metabolic diseases. To understand the genetic characteristics of obese individuals, single-nucleotide polymorphisms (SNPs) derived from next-generation sequencing (NGS) provide comprehensive insight into genome-wide genetic investigation. However, interpretation of these SNP data for clinical application is difficult given the high complexity of NGS data. Hence, in this...

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PMID: 30204480
DOI: 10.1089/cmb.2018.0002

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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