SNF–CVAE: Computational method to predict drug–disease interactions using similarity network fusion and collective variational autoencoder

Drug repositioning is an emerging approach to identify novel therapeutic potentials for approved drugs and discover therapies for previously untreatable diseases. Drug repositioning has also attracted considerable attention in the pharmaceutical industry due to its time and cost efficiency in the dr...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Knowledge-based systems Jg. 212; S. 106585
Hauptverfasser:	Jarada, Tamer N., Rokne, Jon G., Alhajj, Reda
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 05.01.2021 Elsevier Science Ltd
Schlagworte:	Accuracy Alzheimer's disease Arthritis Biomedicine Candidates Case studies Clinical research Clinical trials Computational drug repositioning Cost analysis Deep learning Disease Drug similarity measures Drugs Genes Genomics Identification methods Information Linear analysis Machine learning Measures Motivation Networks Nonlinear analysis Pharmaceutical industry Pharmaceuticals Public relations Reliability Rheumatoid arthritis Robustness Similarity Similarity measures Similarity network fusion Therapy Deep learning Computational drug repositioning Similarity network fusion Drug similarity measures Machine learning
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!