Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

MOFA+: a probabilistic framework for comprehensive integration of structured single-cell data

View ORCID ProfileRicard Argelaguet, View ORCID ProfileDamien Arnol, View ORCID ProfileDanila Bredikhin, Yonatan Deloro, View ORCID ProfileBritta Velten, View ORCID ProfileJohn C Marioni, View ORCID ProfileOliver Stegle
doi: https://doi.org/10.1101/837104
Ricard Argelaguet
1European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire, CB10 1SD, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ricard Argelaguet
  • For correspondence: ricard@ebi.ac.uk marioni@ebi.ac.uk o.stegle@dkfz-heidelberg.de
Damien Arnol
1European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire, CB10 1SD, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Damien Arnol
Danila Bredikhin
2European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Danila Bredikhin
Yonatan Deloro
1European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire, CB10 1SD, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Britta Velten
2European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
3Division of Computational Genomics and Systems Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Britta Velten
John C Marioni
1European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire, CB10 1SD, UK
4Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, UK
5Wellcome Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for John C Marioni
  • For correspondence: ricard@ebi.ac.uk marioni@ebi.ac.uk o.stegle@dkfz-heidelberg.de
Oliver Stegle
2European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
1European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire, CB10 1SD, UK
3Division of Computational Genomics and Systems Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Oliver Stegle
  • For correspondence: ricard@ebi.ac.uk marioni@ebi.ac.uk o.stegle@dkfz-heidelberg.de
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading
  • Appendix[supplements/837104_file03.pdf]
Back to top
PreviousNext
Posted November 09, 2019.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
MOFA+: a probabilistic framework for comprehensive integration of structured single-cell data
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
MOFA+: a probabilistic framework for comprehensive integration of structured single-cell data
Ricard Argelaguet, Damien Arnol, Danila Bredikhin, Yonatan Deloro, Britta Velten, John C Marioni, Oliver Stegle
bioRxiv 837104; doi: https://doi.org/10.1101/837104
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
MOFA+: a probabilistic framework for comprehensive integration of structured single-cell data
Ricard Argelaguet, Damien Arnol, Danila Bredikhin, Yonatan Deloro, Britta Velten, John C Marioni, Oliver Stegle
bioRxiv 837104; doi: https://doi.org/10.1101/837104

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioinformatics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4687)
  • Biochemistry (10370)
  • Bioengineering (7689)
  • Bioinformatics (26358)
  • Biophysics (13544)
  • Cancer Biology (10708)
  • Cell Biology (15449)
  • Clinical Trials (138)
  • Developmental Biology (8507)
  • Ecology (12831)
  • Epidemiology (2067)
  • Evolutionary Biology (16875)
  • Genetics (11406)
  • Genomics (15488)
  • Immunology (10631)
  • Microbiology (25242)
  • Molecular Biology (10233)
  • Neuroscience (54556)
  • Paleontology (402)
  • Pathology (1670)
  • Pharmacology and Toxicology (2898)
  • Physiology (4349)
  • Plant Biology (9262)
  • Scientific Communication and Education (1587)
  • Synthetic Biology (2558)
  • Systems Biology (6785)
  • Zoology (1470)