Predicting DDI-induced pregnancy and neonatal ADRs using sparse PCA and stacking ensemble approach
Predicting Drug-Drug interaction (DDI)-induced adverse drug reactions (ADRs) using computational methods is challenging due to the availability of limited data samples, data sparsity, and high dimensionality. The issue of class imbalance further increases the intricacy of prediction. Different compu...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
De Gruyter
2025-06-01
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| Serie: | Journal of Integrative Bioinformatics |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1515/jib-2024-0056 |
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