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Showing 1–4 of 4 results

Advanced filters: Author: Castrense Savojardo Clear advanced filters

Author Correction: DOME: recommendations for supervised machine learning validation in biology

Ian Walsh
Dmytro Fishman
Silvio C. E. Tosatto
Amendments and Corrections23 Sept 2021
Nature Methods

Volume: 18, P: 1409-1410
Mapping human disease-associated enzymes into Reactome allows characterization of disease groups and their interactions

Castrense Savojardo
Davide Baldazzi
Rita Casadio
ResearchOpen Access26 Oct 2022
Scientific Reports

Volume: 12, P: 1-10
Ancient DNA SNP-panel data suggests stability in bluefin tuna genetic diversity despite centuries of fluctuating catches in the eastern Atlantic and Mediterranean

Adam J. Andrews
Gregory N. Puncher
Alessia Cariani
ResearchOpen Access20 Oct 2021
Scientific Reports

Volume: 11, P: 1-11
DOME: recommendations for supervised machine learning validation in biology

DOME is a set of community-wide recommendations for reporting supervised machine learning–based analyses applied to biological studies. Broad adoption of these recommendations will help improve machine learning assessment and reproducibility.

Ian Walsh
Dmytro Fishman
Silvio C. E. Tosatto
Comments & Opinion27 Jul 2021
Nature Methods

Volume: 18, P: 1122-1127