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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Veröffentlicht in:Transl Psychiatry
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Publishing Group UK 2020
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Article
Online Zugang: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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