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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2024-01-01
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Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2024115?viewType=HTML |