SNF-NN: computational method to predict drug-disease interactions using similarity network fusion and neural networks

Background: Drug repositioning is an emerging approach in pharmaceutical research for identifying novel therapeutic potentials for approved drugs and discover therapies for untreated diseases. Due to its time and cost efficiency, drug repositioning plays an instrumental role in optimizing the drug d...

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Bibliographic Details
Main Authors:	Alhajj, R. (Author), Jarada, T.N (Author), Rokne, J.G (Author)
Format:	Article
Language:	English
Published:	BioMed Central Ltd 2021
Subjects:	10-fold cross-validation algorithm Algorithms biology Computational Biology Computational drug repositioning Deep learning Disease control drug Drug interactions drug repositioning Drug Repositioning Drug similarity measures drug therapy Drug Therapy Efficiency Forecasting Heterogeneous networks High performance computing Interaction prediction Learning systems Machine learning Machine learning techniques Neural networks Neural Networks, Computer Pharmaceutical Preparations Pharmaceutical research Reliability and robustness reproducibility Reproducibility of Results Similarity informations Similarity network fusion Therapeutic potentials
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SNF-NN: computational method to predict drug-disease interactions using similarity network fusion and neural networks

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