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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Bibliografische Detailangaben

Hauptverfasser:	Chaurasia Anushka, Kumar Deepak, Yogita
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	De Gruyter 2025-06-01
Schriftenreihe:	Journal of Integrative Bioinformatics
Schlagworte:	ddi-induced pregnancy and neonatal adrs sparse pca stacking ensemble approach
Online-Zugang:	https://doi.org/10.1515/jib-2024-0056
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