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Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies.
Park, Jun Young; Lee, Jang Jae; Lee, Younghwa; Lee, Dongsoo; Gim, Jungsoo; Farrer, Lindsay; Lee, Kun Ho; Won, Sungho.
  • Park JY; Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea.
  • Lee JJ; Neurozen Inc., Seoul 06168, Korea.
  • Lee Y; Gwangju Alzheimer's & Related Dementia Cohort Research Center, Chosun University, Gwangju 61452, Korea.
  • Lee D; Gwangju Alzheimer's & Related Dementia Cohort Research Center, Chosun University, Gwangju 61452, Korea.
  • Gim J; Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea.
  • Farrer L; Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea.
  • Lee KH; Gwangju Alzheimer's & Related Dementia Cohort Research Center, Chosun University, Gwangju 61452, Korea.
  • Won S; Department of Biomedical Science, Chosun University, Gwangju 61452, Korea.
Bioinformatics ; 39(9)2023 09 02.
Article en En | MEDLINE | ID: mdl-37665736
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estudio de Asociación del Genoma Completo / Enfermedad de Alzheimer Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estudio de Asociación del Genoma Completo / Enfermedad de Alzheimer Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article