Deep learning of multimodal networks with topological regularization for drug repositioning

Abstract Motivation Computational techniques for drug-disease prediction are essential in enhancing drug discovery and repositioning. While many methods utilize multimodal networks from various biological databases, few integrate comprehensive multi-omics data, including transcriptomes, proteomes, a...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Yuto Ohnuki, Manato Akiyama, Yasubumi Sakakibara
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	BMC 2024-08-01
Schriftenreihe:	Journal of Cheminformatics
Schlagworte:	Multimodal network Multi-omics data Drug-disease association Topological regularization
Online-Zugang:	https://doi.org/10.1186/s13321-024-00897-y
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!