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  • New article titled "Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes" was published
  • New article titled "Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes" was published

    Research: 2020/09/03


    New article titled "Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes" was published on the journal of Translational Psychiatry. Please take a look at the article for more details.  

    Fig. 1: The concept of genetic architecture and predictive models for polygenic diseases.

    Article information

    Title: Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes
    Published journal: Translational Psychiatry
    Authors:Yuta Takahashi, Masao Ueki, Gen Tamiya, Soichi Ogishima, Kengo Kinoshita, Atsushi Hozawa, Naoko Minegishi, Fuji Nagami, Kentaro Fukumoto, Kotaro Otsuka, Kozo Tanno, Kiyomi Sakata, Atsushi Shimizu, Makoto Sasaki, Kenji Sobue, Shigeo Kure, Masayuki Yamamoto, Hiroaki Tomita
    Publish date: 17 Aug 2020
    doi:10.1038/s41398-020-00957-5

     

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