Article révisé par les pairs
Titre:
  • DOME Registry: implementing community-wide recommendations for reporting supervised machine learning in biology
Auteur:Attafi, Omar Abdelghani; Clementel, Damiano; Kyritsis, Konstantinos; Capriotti, Emidio; Farrell, Gavin; Fragkouli, Styliani-Christina; Castro, Leyla Jael; Hatos, András; Lenaerts, Tom; Mazurenko, Stanislav; Mozaffari, Soroush; Pradelli, Franco; Ruch, Patrick; Savojardo, Castrense; Turina, Maria Paola; Zambelli, Federico; Piovesan, Damiano; Monzon, Alexander Miguel; Psomopoulos, Fotis F.E.; Tosatto, Silvio S.C.E.
Informations sur la publication:GigaScience, 13, page (8), giae094
Statut de publication:Publié, 2024-01-01
Sujet CREF:Informatique médicale
Intelligence artificielle
Mots-clés:machine learning
reproducibility
standards
transparency
Note générale:SCOPUS: re.j
Langue:Anglais
Identificateurs:urn:issn:2047-217X
info:doi/10.1093/gigascience/giae094
info:scp/85212459848
info:pmid/39661723

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