DTI-HeNE: a novel method for drug-target interaction prediction based on heterogeneous network embedding

DTI-HeNE: a novel method for drug-target interaction prediction based on heterogeneous network embedding

Background: Prediction of the drug-target interaction (DTI) is a critical step in the drug repurposing process, which can effectively reduce the following workload for experimental verification of potential drugs’ properties. In recent studies, many machine-learning-based methods have been proposed...

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Bibliographic Details
Main Authors: He, S. (Author), Yue, Y. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Decision trees
drug
drug development
Drug Development
drug interaction
Drug interactions
Drug Interactions
drug repositioning
Drug Repositioning
Drug-target interaction prediction
Drug-target interactions
Embeddings
Experimental verification
Feature fusion
Forecasting
Graph mining
Graphic methods
Heterogeneous information
Heterogeneous network embedding
Heterogeneous networks
Homogeneous network
Interactive features
machine learning
Machine learning
Machine Learning
Network embedding
Pharmaceutical Preparations
Prediction methods
Similarity informations
Tensors
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