HEnsem_DTIs: A heterogeneous ensemble learning model for drug-target interactions prediction

Mohammad Reza Keyvanpour; Yasaman Asghari; Soheila Mehrmolaei

doi:10.1016/j.chemolab.2024.105224

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HEnsem_DTIs: A heterogeneous ensemble learning model for drug-target interactions prediction

Mohammad Reza Keyvanpour Yasaman Asghari Soheila Mehrmolaei

Year: 2024 Journal: Chemometrics and Intelligent Laboratory Systems Vol: 253 Pages: 105224-105224 Publisher: Elsevier BV

DOI: 10.1016/j.chemolab.2024.105224

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Keywords:

Computer science Reinforcement learning Machine learning Ensemble learning Artificial intelligence Curse of dimensionality Recommender system Dimensionality reduction Feature (linguistics) Class (philosophy) Ensemble forecasting Data mining Process (computing)

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Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning in Bioinformatics

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

HEnsem_DTIs: A heterogeneous ensemble learning model for drug-target interactions prediction

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