ProteomicsML: An Online Platform for Community-Curated Data sets and Tutorials for Machine Learning in Proteomics-Reference-Cited by-同舟云学术

ProteomicsML: An Online Platform for Community-Curated Data sets and Tutorials for Machine Learning in Proteomics

Published:2023-01-24 Issue:2 Volume:22 Page:632-636
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Rehfeldt Tobias G.¹^ORCID,Gabriels Ralf²³^ORCID,Bouwmeester Robbin²³^ORCID,Gessulat Siegfried⁴,Neely Benjamin A.⁵^ORCID,Palmblad Magnus⁶^ORCID,Perez-Riverol Yasset⁷^ORCID,Schmidt Tobias⁸^ORCID,Vizcaíno Juan Antonio⁷^ORCID,Deutsch Eric W.⁹^ORCID

Affiliation:

1. Institute for Mathematics and Computer Science, University of Southern Denmark, 5000 Odense, Denmark

2. VIB-UGent Center for Medical Biotechnology, VIB, Ghent 9052, Belgium

3. Department of Biomolecular Medicine, Ghent University, Ghent 9052, Belgium

4. MSAID Gmbh, Berlin 10559, Germany

5. National Institute of Standards and Technology, Charleston, South Carolina 29412, United States

6. Center for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands

7. European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom

8. MSAID GmbH, Garching b. Munich 85748, Germany

9. Institute for Systems Biology, Seattle, Washington 98109, United States

Funder

Agentschap Innoveren en Ondernemen

European Molecular Biology Laboratory

Fonds Wetenschappelijk Onderzoek

National Institute on Aging

Velux Fonden

Horizon 2020 Framework Programme

National Institute of General Medical Sciences

Biotechnology and Biological Sciences Research Council

National Science Foundation