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.

DOME: recommendations for supervised machine learning validation in biology

Fariselli P.
Membro del Collaboration Group
;
2021-01-01

Abstract

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.
2021
18
10
1122
1127
Algorithms; Computational Biology; Humans; Models, Biological; Guidelines as Topic; Research Design; Supervised Machine Learning
Walsh I.; Fishman D.; Garcia-Gasulla D.; Titma T.; Pollastri G.; ELIXIR Machine Learning Focus Group; Fariselli P.; Harrow J.; Psomopoulos F.E.; Tosatto S.C.E.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1821153
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