Author Correction: DOME: recommendations for supervised machine learning validation in biology
Nat Methods
.
2021 Nov;18(11):1409-1410.
doi: 10.1038/s41592-021-01304-2.
Authors
Ian Walsh
#
1
,
Dmytro Fishman
#
2
,
Dario Garcia-Gasulla
3
,
Tiina Titma
4
,
Gianluca Pollastri
5
;
ELIXIR Machine Learning Focus Group
;
Jennifer Harrow
6
,
Fotis E Psomopoulos
7
,
Silvio C E Tosatto
8
Collaborators
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
Affiliations
1
Bioprocessing Technology Institute, Agency for Science, Technology and Research, Singapore, Singapore.
2
Institute of Computer Science, University of Tartu, Tartu, Estonia.
3
Barcelona Supercomputing Center (BSC), Barcelona, Spain.
4
School of Information Technologies, Tallinn University of Technology, Tallinn, Estonia.
5
School of Computer Science, University College Dublin, Dublin, Ireland.
6
ELIXIR Hub, Wellcome Genome Campus, Hinxton, UK. jen.harrow@elixir-europe.org.
7
Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece. fpsom@certh.gr.
8
Department of Biomedical Sciences, University of Padua, Padua, Italy. silvio.tosatto@unipd.it.
#
Contributed equally.
PMID:
34556867
DOI:
10.1038/s41592-021-01304-2
No abstract available
Publication types
Published Erratum
Grants and funding
778247/EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions)
823886/EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions)
2017483NH8/Ministero dell'Istruzione, dell'Università e della Ricerca (Ministry of Education, University and Research)
PRG1095/Eesti Teadusagentuur (Estonian Research Council)
PSG59/Eesti Teadusagentuur (Estonian Research Council)