DOME: recommendations for supervised machine learning validation in biology.

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dc.contributor.authorWalsh, Ian
dc.contributor.authorFishman, Dmytro
dc.contributor.authorGarcia-Gasulla, Dario
dc.contributor.authorTitma, Tiina
dc.contributor.authorPollastri, Gianluca
dc.contributor.authorELIXIR Machine Learning Focus Group
dc.contributor.authorHarrow, Jennifer
dc.contributor.authorPsomopoulos, Fotis E
dc.contributor.authorTosatto, Silvio C E
dc.date.accessioned2025-01-07T12:26:20Z
dc.date.available2025-01-07T12:26:20Z
dc.date.issued2021
dc.identifier.doi10.1038/s41592-021-01205-4
dc.identifier.essn1548-7105
dc.identifier.pmid34316068
dc.identifier.unpaywallURLhttps://www.nature.com/articles/s41592-021-01205-4.pdf
dc.identifier.urihttps://hdl.handle.net/10668/24608
dc.issue.number10
dc.journal.titleNature methods
dc.journal.titleabbreviationNat Methods
dc.language.isoen
dc.organizationFundación Pública Andaluza Progreso y Salud
dc.page.number1122-1127
dc.pubmedtypeJournal Article
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.rights.accessRightsopen access
dc.subject.meshAlgorithms
dc.subject.meshComputational Biology
dc.subject.meshGuidelines as Topic
dc.subject.meshHumans
dc.subject.meshModels, Biological
dc.subject.meshResearch Design
dc.subject.meshSupervised Machine Learning
dc.titleDOME: recommendations for supervised machine learning validation in biology.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number18

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