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description Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2021Embargo end date: 27 Jan 2022 Spain, Italy, Belgium EnglishPublisher:Nature Research Publicly fundedFunded by:EC | IDPfun, EC | REFRACTEC| IDPfun ,EC| REFRACTIan Walsh; Dmytro Fishman; Dario Garcia-Gasulla; Tiina Titma; Gianluca Pollastri; Emidio Capriotti; Rita Casadio; Salvador Capella-Gutierrez; Davide Cirillo; Alessio Del Conte; Alexandros C. Dimopoulos; Victoria Dominguez Del Angel; Joaquin Dopazo; Piero Fariselli; José Maria Fernández; Florian Huber; Anna Kreshuk; Tom Lenaerts; Pier Luigi Martelli; Arcadi Navarro; Pilib Ó Broin; Janet Piñero; Damiano Piovesan; Martin Reczko; Francesco Ronzano; Venkata Satagopam; Castrense Savojardo; Vojtech Spiwok; Marco Antonio Tangaro; Giacomo Tartari; David Salgado; Alfonso Valencia; Federico Zambelli; Jennifer Harrow; Fotis E. Psomopoulos; Silvio C. E. Tosatto;The work of the Machine Learning Focus Group was funded by ELIXIR, the research infrastructure for life-science data. IW was funded by the A*STAR Career Development Award (project no. C210112057) from the Agency for Science, Technology and Research (A*STAR), Singapore. D.F. was supported by Estonian Research Council grants (PRG1095, PSG59 and ERA-NET TRANSCAN-2 (BioEndoCar)); Project No 2014-2020.4.01.16-0271, ELIXIR and the European Regional Development Fund through EXCITE Center of Excellence. S.C.E.T. has received funding from the European Union’s Horizon 2020 research and innovation programme under Marie Skłodowska-Curie Grant agreements No. 778247 and No. 823886, and Italian Ministry of University and Research PRIN 2017 grant 2017483NH8. "Article signat per 8 autors més 28 autors/es de l' ELIXIR Machine Learning Focus Group: Emidio Capriotti, Rita Casadio, Salvador Capella-Gutierrez, Davide Cirillo, Alessio Del Conte, Alexandros C. Dimopoulos, Victoria Dominguez Del Angel, Joaquin Dopazo, Piero Fariselli, José Maria Fernández, Florian Huber, Anna Kreshuk, Tom Lenaerts, Pier Luigi Martelli, Arcadi Navarro, Pilib Ó Broin, Janet Piñero, Damiano Piovesan, Martin Reczko, Francesco Ronzano, Venkata Satagopam, Castrense Savojardo, Vojtech Spiwok, Marco Antonio Tangaro, Giacomo Tartari, David Salgado, Alfonso Valencia & Federico Zambelli" Supervised machine learning is widely used in biology and deserves more scrutiny. We present a set of community-wide recommendations (DOME) aiming to help establish standards of supervised machine learning validation in biology. Formulated as questions, the DOME recommendations improve the assessment and reproducibility of papers when included as supplementary material. Peer Reviewed
Archivio Istituziona... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAVrije Universiteit Brussel Research PortalOther literature type . 2021Data sources: Vrije Universiteit Brussel Research PortalUPCommons. Portal del coneixement obert de la UPCOther literature type . Article . 2021 . Peer-reviewedData sources: UPCommons. Portal del coneixement obert de la UPChttps://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41592-021-01205-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 90 citations 90 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 89visibility views 89 download downloads 37 Powered bymore_vert Archivio Istituziona... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAVrije Universiteit Brussel Research PortalOther literature type . 2021Data sources: Vrije Universiteit Brussel Research PortalUPCommons. Portal del coneixement obert de la UPCOther literature type . Article . 2021 . Peer-reviewedData sources: UPCommons. Portal del coneixement obert de la UPChttps://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41592-021-01205-4&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2021Embargo end date: 27 Jan 2022 Spain, Italy, Belgium EnglishPublisher:Nature Research Publicly fundedFunded by:EC | IDPfun, EC | REFRACTEC| IDPfun ,EC| REFRACTIan Walsh; Dmytro Fishman; Dario Garcia-Gasulla; Tiina Titma; Gianluca Pollastri; Emidio Capriotti; Rita Casadio; Salvador Capella-Gutierrez; Davide Cirillo; Alessio Del Conte; Alexandros C. Dimopoulos; Victoria Dominguez Del Angel; Joaquin Dopazo; Piero Fariselli; José Maria Fernández; Florian Huber; Anna Kreshuk; Tom Lenaerts; Pier Luigi Martelli; Arcadi Navarro; Pilib Ó Broin; Janet Piñero; Damiano Piovesan; Martin Reczko; Francesco Ronzano; Venkata Satagopam; Castrense Savojardo; Vojtech Spiwok; Marco Antonio Tangaro; Giacomo Tartari; David Salgado; Alfonso Valencia; Federico Zambelli; Jennifer Harrow; Fotis E. Psomopoulos; Silvio C. E. Tosatto;The work of the Machine Learning Focus Group was funded by ELIXIR, the research infrastructure for life-science data. IW was funded by the A*STAR Career Development Award (project no. C210112057) from the Agency for Science, Technology and Research (A*STAR), Singapore. D.F. was supported by Estonian Research Council grants (PRG1095, PSG59 and ERA-NET TRANSCAN-2 (BioEndoCar)); Project No 2014-2020.4.01.16-0271, ELIXIR and the European Regional Development Fund through EXCITE Center of Excellence. S.C.E.T. has received funding from the European Union’s Horizon 2020 research and innovation programme under Marie Skłodowska-Curie Grant agreements No. 778247 and No. 823886, and Italian Ministry of University and Research PRIN 2017 grant 2017483NH8. "Article signat per 8 autors més 28 autors/es de l' ELIXIR Machine Learning Focus Group: Emidio Capriotti, Rita Casadio, Salvador Capella-Gutierrez, Davide Cirillo, Alessio Del Conte, Alexandros C. Dimopoulos, Victoria Dominguez Del Angel, Joaquin Dopazo, Piero Fariselli, José Maria Fernández, Florian Huber, Anna Kreshuk, Tom Lenaerts, Pier Luigi Martelli, Arcadi Navarro, Pilib Ó Broin, Janet Piñero, Damiano Piovesan, Martin Reczko, Francesco Ronzano, Venkata Satagopam, Castrense Savojardo, Vojtech Spiwok, Marco Antonio Tangaro, Giacomo Tartari, David Salgado, Alfonso Valencia & Federico Zambelli" Supervised machine learning is widely used in biology and deserves more scrutiny. We present a set of community-wide recommendations (DOME) aiming to help establish standards of supervised machine learning validation in biology. Formulated as questions, the DOME recommendations improve the assessment and reproducibility of papers when included as supplementary material. Peer Reviewed
Archivio Istituziona... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAVrije Universiteit Brussel Research PortalOther literature type . 2021Data sources: Vrije Universiteit Brussel Research PortalUPCommons. Portal del coneixement obert de la UPCOther literature type . Article . 2021 . Peer-reviewedData sources: UPCommons. Portal del coneixement obert de la UPChttps://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41592-021-01205-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 90 citations 90 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 89visibility views 89 download downloads 37 Powered bymore_vert Archivio Istituziona... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAVrije Universiteit Brussel Research PortalOther literature type . 2021Data sources: Vrije Universiteit Brussel Research PortalUPCommons. Portal del coneixement obert de la UPCOther literature type . Article . 2021 . Peer-reviewedData sources: UPCommons. Portal del coneixement obert de la UPChttps://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41592-021-01205-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu