Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network

Zhan‐Heng Chen; Zhu‐Hong You; Zhen-Hao Guo; Hai-Cheng Yi; Gongxu Luo; Yanbin Wang

doi:10.1007/978-3-030-60802-6_31

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Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network

Zhan‐Heng Chen Zhu‐Hong You Zhen-Hao Guo Hai-Cheng Yi Gongxu Luo Yanbin Wang

Year: 2020 Lecture notes in computer science Pages: 348-358 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-60802-6_31

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Keywords:

Computer science Random forest Node (physics) Embedding Classifier (UML) Feature vector Data mining Drug target Artificial intelligence Feature (linguistics) Feature extraction Machine learning Pattern recognition (psychology) Engineering

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Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Machine Learning in Bioinformatics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Chemical Synthesis and Analysis

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network

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