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Author

Hyungu Kang

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Open access Jul 2026

MetaRT: structure-embedded stacked ensemble machine learning prediction of retention time of short peptides

MetaRT, a stacked-ensemble machine learning framework designed to predict the RTs from small dataset of hydrophobic peptides, outperformed both base learners and the ensemble models, achieving a lower root mean square error (RMSE) and a maximum RT deviation.

R. A. Mahmood, M. Mahin, R. Alam et al. · 0 citations

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