Integrative approach for predicting drug-target interactions via matrix factorization and broad learning systems

Integrative approach for predicting drug-target interactions via matrix factorization and broad learning systems

In the drug discovery process, time and costs are the most typical problems resulting from the experimental screening of drug-target interactions (DTIs). To address these limitations, many computational methods have been developed to achieve more accurate predictions. However, identifying DTIs mostl...

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Bibliographic Details
Main Authors: Wanying Xu, Xixin Yang, Yuanlin Guan, Xiaoqing Cheng, Yu Wang
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
drug-target interaction prediction
broad learning system
neighbor regularization logistic matrix factorization
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024115?viewType=HTML

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