HNF-DDA: subgraph contrastive-driven transformer-style heterogeneous network embedding for drug–disease association prediction

Abstract Background Drug–disease association (DDA) prediction aims to identify potential links between drugs and diseases, facilitating the discovery of new therapeutic potentials and reducing the cost and time associated with traditional drug development. However, existing DDA prediction methods of...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Yifan Shang, Zixu Wang, Yangyang Chen, Xinyu Yang, Zhonghao Ren, Xiangxiang Zeng, Lei Xu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2025-04-01
coleção:	BMC Biology
Assuntos:	Drug–disease association prediction Drug repositioning Heterogeneous Network Contrastive learning Transformer
Acesso em linha:	https://doi.org/10.1186/s12915-025-02206-x
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!