Improving computational drug repositioning through multi-source disease similarity networks

Abstract Computational drug repositioning seeks to identify new therapeutic uses for existing or experimental drugs. Network-based methods are effective as they integrate relationships among drugs, diseases, and target proteins/genes into prediction models. However, traditional approaches often rely...

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Bibliografiske detaljer

Hovedforfatter:	Duc-Hau Le
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2025-08-01
Serier:	Scientific Reports
Fag:	Drug repositioning Multi-Source disease similarity networks Disease multiplex networks Multiplex-Heterogeneous networks Random walk with restart (RWR)
Online adgang:	https://doi.org/10.1038/s41598-025-04772-0
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