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.
· Journal of Analytical Scienc... · 0 citations