Prediction of Drug–Target Interaction Using Dual-Network Integrated Logistic Matrix Factorization and Knowledge Graph Embedding

Nowadays, drug–target interactions (DTIs) prediction is a fundamental part of drug repositioning. However, on the one hand, drug–target interactions prediction models usually consider drugs or targets information, which ignore prior knowledge between drugs and targets. On the other hand, models inco...

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Bibliografiske detaljer

Principais autores:	Jiaxin Li, Xixin Yang, Yuanlin Guan, Zhenkuan Pan
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2022-08-01
Serier:	Molecules
Fag:	drug–target interactions prediction knowledge graph embedding dual-network integrated logistic matrix factorization
Online adgang:	https://www.mdpi.com/1420-3049/27/16/5131
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