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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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| 出版年: | Transl Psychiatry |
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| 主要な著者: | , , , , , , , , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2020
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| 主題: | |
| オンライン･アクセス: | 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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