Application of network link prediction in drug discovery

Application of network link prediction in drug discovery

Background: Technological and research advances have produced large volumes of biomedical data. When represented as a network (graph), these data become useful for modeling entities and interactions in biological and similar complex systems. In the field of network biology and network medicine, ther...

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Bibliographic Details
Main Authors: Abbas, K. (Author), Abbasi, A. (Author), Cai, S.-M (Author), Chen, B. (Author), Dong, S. (Author), Hasan, Q. (Author), Niu, L. (Author), Yu, L. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
algorithm
Algorithms
Binary classification problems
Comparative evaluations
Data-driven drug discovery
drug development
Drug Discovery
drug interaction
Drug interactions
Drug Interactions
Drug-target prediction
Experimental evaluation
Forecasting
Large dataset
Learning algorithms
machine learning
Machine learning
Machine Learning
Machine learning approaches
Machine learning methods
Machine learning models
Network link prediction
Network-based approach
Outsourcing
Petroleum reservoir evaluation
Poly-pharmacy
Poly-pharmacy side effects prediction
Predicting outcomes
Proteins
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