Synthesize heterogeneous biological knowledge via representation learning for Alzheimer’s disease drug repurposing

Developing drugs for treating Alzheimer’s disease has been extremely challenging and costly due to limited knowledge of underlying mechanisms and therapeutic targets. To address the challenge in AD drug development, we developed a multi-task deep learning pipeline that learns biological interactions...

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Detalles Bibliográficos
Autores principales: Hsieh, Kang-Lin, Plascencia-Villa, German, Lin, Ko-Hong, Perry, George, Jiang, Xiaoqian, Kim, Yejin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804117/
https://www.ncbi.nlm.nih.gov/pubmed/36594024
http://dx.doi.org/10.1016/j.isci.2022.105678

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804117/
https://www.ncbi.nlm.nih.gov/pubmed/36594024
http://dx.doi.org/10.1016/j.isci.2022.105678

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