Classification and deep-learning–based prediction of Alzheimer disease subtypes by using genomic data

Abstract Late-onset Alzheimer’s disease (LOAD) is the most common multifactorial neurodegenerative disease among elderly people. LOAD is heterogeneous, and the symptoms vary among patients. Genome-wide association studies (GWAS) have identified genetic risk factors for LOAD but not for LOAD subtypes...

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מידע ביבליוגרפי

Principais autores:	Daichi Shigemizu, Shintaro Akiyama, Mutsumi Suganuma, Motoki Furutani, Akiko Yamakawa, Yukiko Nakano, Kouichi Ozaki, Shumpei Niida
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Nature Publishing Group 2023-06-01
סדרה:	Translational Psychiatry
גישה מקוונת:	https://doi.org/10.1038/s41398-023-02531-1
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