A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women

Hye-Young Yoo,1,* Ki-Chan Lee,2,* Ji-Eun Woo,1 Sung-Ha Park,1 Sunghoon Lee,2 Joungsu Joo,2 Jin-Sik Bae,2 Hyuk-Jung Kwon,2 Byoung-Jun Park1 1Skin & Natural Products Lab, Kolmar Korea Co., Ltd., Seoul, 06800, Republic of Korea; 2R&D Department, Eone Diagnomics Genome Center Co., Ltd, Songdo In...

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Bibliografische Detailangaben

Hauptverfasser:	Yoo HY, Lee KC, Woo JE, Park SH, Lee S, Joo J, Bae JS, Kwon HJ, Park BJ
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Dove Medical Press 2022-03-01
Schriftenreihe:	Clinical, Cosmetic and Investigational Dermatology
Schlagworte:	customized cosmetics single-nucleotide polymorphism genome-wide association study machine-learning algorithm microarray
Online-Zugang:	https://www.dovepress.com/a-genome-wide-association-study-and-machine-learning-algorithm-analysi-peer-reviewed-fulltext-article-CCID
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