Log in to save to my catalogue

A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial...

A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_74a338b817c2482eb90b934e4e1dc9cb

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

About this item

Full title

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

Publisher

New Zealand: Dove Medical Press Limited

Journal title

Clinical, cosmetic and investigational dermatology, 2022-01, Vol.15, p.433-445

Language

English

Formats

Publication information

Publisher

New Zealand: Dove Medical Press Limited

More information

Scope and Contents

Contents

Changes in facial appearance are affected by various intrinsic and extrinsic factors, which vary from person to person. Therefore, each person needs to determine their skin condition accurately to care for their skin accordingly. Recently, genetic identification by skin-related phenotypes has become possible using genome-wide association studies (G...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_74a338b817c2482eb90b934e4e1dc9cb

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_74a338b817c2482eb90b934e4e1dc9cb

Other Identifiers

ISSN

1178-7015

E-ISSN

1178-7015

DOI

10.2147/CCID.S339547

How to access this item