Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes

The accuracy of previous genetic studies in predicting polygenic psychiatric phenotypes has been limited mainly due to the limited power in distinguishing truly susceptible variants from null variants and the resulting overfitting. A novel prediction algorithm, Smooth-Threshold Multivariate Genetic...

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Publicado no:Transl Psychiatry
Main Authors: Takahashi, Yuta, Ueki, Masao, Tamiya, Gen, Ogishima, Soichi, Kinoshita, Kengo, Hozawa, Atsushi, Minegishi, Naoko, Nagami, Fuji, Fukumoto, Kentaro, Otsuka, Kotaro, Tanno, Kozo, Sakata, Kiyomi, Shimizu, Atsushi, Sasaki, Makoto, Sobue, Kenji, Kure, Shigeo, Yamamoto, Masayuki, Tomita, Hiroaki
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7442807/
https://ncbi.nlm.nih.gov/pubmed/32826857
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41398-020-00957-5
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