DOME: recommendations for supervised machine learning validation in biology
URL: https://www.nature.com/articles/s41592-021-01205-4
Authors: Walsh, Ian / Fishman, Dmytro / Garcia-Gasulla, Dario / Titma, Tiina / Pollastri, Gianluca / Capriotti, Emidio / Casadio, Rita / Capella-Gutierrez, Salvador / Cirillo, Davide / Del Conte, Alessio / Dimopoulos, Alexandros / Del Angel, Victoria / Dopazo, Joaquin / Fariselli, Piero / Fernández, José / Huber, Florian / Kreshuk, Anna / Lenaerts, Tom / Martelli, Pier / Navarro, Arcadi / Broin, Pilib / Piñero, Janet / Piovesan, Damiano / Reczko, Martin / Ronzano, Francesco / Satagopam, Venkata / Savojardo, Castrense / Spiwok, Vojtech / Tangaro, Marco / Tartari, Giacomo / Salgado, David / Valencia, Alfonso / Zambelli, Federico / Harrow, Jennifer / Psomopoulos, Fotis / Tosatto, Silvio
Research Lines: Personalized Medicine Initiative
Publication: Nature Methods
Volume / Pagination: 18 / 1122–1127
Paraules clau: best practices, FAIR principles, Machine Learning, recommendations