HEDDI-Net: heterogeneous network embedding for drug-disease association prediction and drug repurposing, with application to Alzheimer’s disease

Abstract Background The traditional process of developing new drugs is time-consuming and often unsuccessful, making drug repurposing an appealing alternative due to its speed and safety. Graph neural networks (GCNs) have emerged as a leading approach for predicting drug-disease associations by inte...

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Detalhes bibliográficos

Principais autores:	Yin-Yuan Su, Hsuan-Cheng Huang, Yu-Ting Lin, Yi-Fang Chuang, Sheh-Yi Sheu, Chen-Ching Lin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2025-02-01
coleção:	Journal of Translational Medicine
Assuntos:	Drug repurposing Drug-disease associations Heterogeneous embedding Alzheimer’s disease
Acesso em linha:	https://doi.org/10.1186/s12967-024-05938-6
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