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Št. zadetkov: 2
Machine learning-driven mapping of prokaryotic community diversity in the Mediterranean Sea using omics, earth observation, and model data
Christian Marchese, Maria Laura Zoffoli, Pierre Ramond, Tinkara Tinta, Neža Orel
Izvirni znanstveni članek
Oznake: prokaryotic community diversity;machine learning;Mediterranean Sea;omics;Shannon diversity index;remote sensing;
Marine prokaryotic communities are major contributors to oceanic food webs and global biogeochemical cycles. However, basin-scale diversity patterns and environmental drivers remain poorly understood. In this study, we applied a machine-learning framework to model the diversity of marine prokaryotic ...
Leto: 2026 Vir: Nacionalni inštitut za biologijo (NIB)
Machine learning predictions for microbial eukaryotic plankton: implications from unevenly structured data
Christian Marchese, Maria Laura Zoffoli, Pierre Ramond, Timotej Turk Dermastia, Tinkara Tinta, Ramiro Logares, Pierre E. Galand, Emanuele Organelli
Izvirni znanstveni članek
Oznake: strojno učenje;metabarkodiranje;fitoplankton;radiometrija;modeliranje;cross-validation;data leakage;eukaryotic plankton;machine learning;marine biodiversity;Mediterranean Sea;omics;shannon diversity index;
Machine learning models provide a scalable approach for predicting the diversity of eukaryotic microbial plankton from environmental predictors. However, the extent to which these models generalize to data outside the training set remains poorly quantified. In this study, XGBoost was used to predict ...
Leto: 2026 Vir: Nacionalni inštitut za biologijo (NIB)
Št. zadetkov: 2
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