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Prediction of compound-target interactions of natural products using large-scale drug and protein information.

, , , and . BMC Bioinform., 17 (S-6): 219 (2016)

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Prediction of Compound-Target Interactions of Natural Products Using Large-scale Drug and Protein Information., , and . DTMBIO@CIKM, page 15. ACM, (2015)Prediction of compound-target interactions of natural products using large-scale drug and protein information., , , and . BMC Bioinform., 17 (S-6): 219 (2016)Reliable Data Collection in Participatory Trials to Assess Digital Healthcare Applications., , , , , , , and . IEEE Access, (2020)InterDILI: interpretable prediction of drug-induced liver injury through permutation feature importance and attention mechanism., and . J. Cheminformatics, 16 (1): 1 (December 2024)Electronic Medical Records privacy preservation through k-anonymity clustering method., , , and . SCIS&ISIS, page 1119-1124. IEEE, (2012)DTMBIO 2020: The Fourteenth International Workshop on Data and Text Mining in Biomedical Informatics., , , , and . CIKM, page 3537-3538. ACM, (2020)Optimal Power Allocation for Maximizing Energy Efficiency in DAS-Based IoT Network., , , , , and . IEEE Syst. J., 15 (2): 2342-2348 (2021)A systematic approach to identify therapeutic effects of natural products based on human metabolite information., , and . BMC Bioinform., 19-S (8): 49-55 (2018)Integrative Database for Exploring Compound Combinations of Natural Products for Medical Effects., , , , , , , , and . DTMBIO@CIKM, page 41. ACM, (2014)S-TAT Leakage Current in Partial Isolation Type Saddle-FinFET (Pi-FinFET)s., , , , , and . IEEE Access, (2021)