Article Information
History
- November 9, 2019.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Author Information
- Ricard Argelaguet1,*,†,
- Damien Arnol1,†,
- Danila Bredikhin2,
- Yonatan Deloro1,
- Britta Velten2,3,
- John C Marioni1,4,5,* and
- Oliver Stegle2,1,3,*
- 1European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire, CB10 1SD, UK
- 2European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
- 3Division of Computational Genomics and Systems Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany
- 4Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, UK
- 5Wellcome Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
- ↵*Corresponding authors. e-mail: Ricard Argelaguet: ricard{at}ebi.ac.uk, John Marioni: marioni{at}ebi.ac.uk, Oliver Stegle: o.stegle{at}dkfz-heidelberg.de
↵† These authors contributed equally.
Posted November 09, 2019.
MOFA+: a probabilistic framework for comprehensive integration of structured single-cell data
