A weighted bilinear neural collaborative filtering approach for drug repositioning

• Published in: Briefings in bioinformatics Vol. 23; no. 2
• Main Authors: Meng, Yajie, Lu, Changcheng, Jin, Min, Xu, Junlin, Zeng, Xiangxiang, Yang, Jialiang
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 10.03.2022; Oxford Publishing Limited (England)
• Subjects: Algorithms; Breast cancer; Clinical trials; Collaboration; Computational Biology; Cytarabine; Databases, Factual; Disease; Drug Discovery; Drug Repositioning; Drugs; Filtration; Information processing; Lung cancer; Multilayer perceptrons; Multilayers; Neighborhoods; Networks; Neural Networks, Computer; Regularization; Similarity; Small cell lung carcinoma; Teniposide; neighborhood interactions; disease; drug–disease association prediction; drug repositioning; drug

Abstract Drug repositioning is an efficient and promising strategy for traditional drug discovery and development. Many research efforts are focused on utilizing deep-learning approaches based on a heterogeneous network for modeling complex drug–disease associations. Similar to traditional latent fa...