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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Bibliographic Details
Published in:Journal of Integrative Bioinformatics
Main Authors: Chaurasia Anushka, Kumar Deepak, Yogita
Format: Article
Language:English
Published: De Gruyter 2025-06-01
Subjects:
Online Access:https://doi.org/10.1515/jib-2024-0056