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Defining and benchmarking open problems in single-cell analysis.
Luecken, Malte D; Gigante, Scott; Burkhardt, Daniel B; Cannoodt, Robrecht; Strobl, Daniel C; Markov, Nikolay S; Zappia, Luke; Palla, Giovanni; Lewis, Wesley; Dimitrov, Daniel; Vinyard, Michael E; Magruder, D S; Andersson, Alma; Dann, Emma; Qin, Qian; Otto, Dominik J; Klein, Michal; Botvinnik, Olga Borisovna; Deconinck, Louise; Waldrant, Kai; Bloom, Jonathan M; Pisco, Angela Oliveira; Saez-Rodriguez, Julio; Wulsin, Drausin; Pinello, Luca; Saeys, Yvan; Theis, Fabian J; Krishnaswamy, Smita.
Afiliación
  • Luecken MD; Institute of computational Biology, Helmholtz Munich, Neuherberg, Germany.
  • Gigante S; Institute of Lung Health & Immunity, Helmholtz Munich; Member of the German Center for Lung Research (DZL), Munich, Germany.
  • Burkhardt DB; Immunai, New York, USA.
  • Cannoodt R; Cellarity, Inc. Somerville, USA.
  • Strobl DC; Data Intuitive, Lebbeke, Belgium.
  • Markov NS; Data Mining and Modelling for Biomedicine group, VIB Center for Inflammation Research, Ghent, Belgium.
  • Zappia L; Department of Applied Mathematics, Computer Science, and Statistics, Ghent University, Ghent, Belgium.
  • Palla G; Institute of computational Biology, Helmholtz Munich, Neuherberg, Germany.
  • Lewis W; Institute of Clinical Chemistry and Pathobiochemistry, School of Medicine, Technical University of Munich, Munich, Germany.
  • Dimitrov D; TUM School of Life Sciences Weihenstephan, Technical University of Munich, Germany.
  • Vinyard ME; Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University.
  • Magruder DS; Institute of computational Biology, Helmholtz Munich, Neuherberg, Germany.
  • Andersson A; Department of Mathematics, School of Computing, Information and Technology, Technical University of Munich, Munich, Germany.
  • Dann E; Institute of computational Biology, Helmholtz Munich, Neuherberg, Germany.
  • Qin Q; TUM School of Life Sciences Weihenstephan, Technical University of Munich, Germany.
  • Otto DJ; Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA.
  • Klein M; Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany.
  • Botvinnik OB; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
  • Deconinck L; Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Waldrant K; Molecular Pathology Unit, Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
  • Bloom JM; Genentech Inc.
  • Pisco AO; Royal Institute of Technology (KTH), Gene Technology.
  • Saez-Rodriguez J; Science for Life Laboratory (SciLifeLab).
  • Wulsin D; Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
  • Pinello L; Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Saeys Y; Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle WA.
  • Theis FJ; Computational Biology Program, Public Health Sciences Division, Seattle WA.
  • Krishnaswamy S; Translational Data Science IRC, Fred Hutchinson Cancer Center, Seattle WA.
Res Sq ; 2024 Apr 04.
Article en En | MEDLINE | ID: mdl-38645152
ABSTRACT
With the growing number of single-cell analysis tools, benchmarks are increasingly important to guide analysis and method development. However, a lack of standardisation and extensibility in current benchmarks limits their usability, longevity, and relevance to the community. We present Open Problems, a living, extensible, community-guided benchmarking platform including 10 current single-cell tasks that we envision will raise standards for the selection, evaluation, and development of methods in single-cell analysis.

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Res Sq Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Res Sq Año: 2024 Tipo del documento: Article