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

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....

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Bibliographic Details
Main Authors: Yoo HY, Lee KC, Woo JE, Park SH, Lee S, Joo J, Bae JS, Kwon HJ, Park BJ
Format: Article
Language:English
Published: Dove Medical Press 2022-03-01
Series:Clinical, Cosmetic and Investigational Dermatology
Subjects:
customized cosmetics
single-nucleotide polymorphism
genome-wide association study
machine-learning algorithm
microarray
Online Access:https://www.dovepress.com/a-genome-wide-association-study-and-machine-learning-algorithm-analysi-peer-reviewed-fulltext-article-CCID

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https://www.dovepress.com/a-genome-wide-association-study-and-machine-learning-algorithm-analysi-peer-reviewed-fulltext-article-CCID

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