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

Machine Translation between paired Single Cell Multi Omics Data

Xabier Martinez-de-Morentin, Sumeer A. Khan, Robert Lehmann, Jesper Tegner, View ORCID ProfileDavid Gomez-Cabrero
doi: https://doi.org/10.1101/2021.01.27.428400
Xabier Martinez-de-Morentin
1Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sumeer A. Khan
2Biological and Environmental Sciences and Engineering Division, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert Lehmann
2Biological and Environmental Sciences and Engineering Division, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jesper Tegner
2Biological and Environmental Sciences and Engineering Division, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David Gomez-Cabrero
1Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
2Biological and Environmental Sciences and Engineering Division, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for David Gomez-Cabrero
  • For correspondence: lunacab@gmail.com
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Single-cell multi-omics technologies enable profiling of several data-modalities from the same cell. We designed LIBRA, a Neural Network based framework, for learning translations between paired multi-omics profiles into a shared latent space. We demonstrate LIBRA to be state-of-the-art for multi-omics clustering. In addition, LIBRA is more robust with decreasing cell-numbers compared with existing tools. Training LIBRA on paired data-sets, LIBRA predicts multi-omic profiles using only a single data-modality from the same biological system.

Competing Interest Statement

The authors have declared no competing interest.

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 4.0 International license.
Back to top
PreviousNext
Posted January 28, 2021.
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.
Machine Translation between paired Single Cell Multi Omics 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
Machine Translation between paired Single Cell Multi Omics Data
Xabier Martinez-de-Morentin, Sumeer A. Khan, Robert Lehmann, Jesper Tegner, David Gomez-Cabrero
bioRxiv 2021.01.27.428400; doi: https://doi.org/10.1101/2021.01.27.428400
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Machine Translation between paired Single Cell Multi Omics Data
Xabier Martinez-de-Morentin, Sumeer A. Khan, Robert Lehmann, Jesper Tegner, David Gomez-Cabrero
bioRxiv 2021.01.27.428400; doi: https://doi.org/10.1101/2021.01.27.428400

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 (4085)
  • Biochemistry (8755)
  • Bioengineering (6477)
  • Bioinformatics (23331)
  • Biophysics (11740)
  • Cancer Biology (9144)
  • Cell Biology (13237)
  • Clinical Trials (138)
  • Developmental Biology (7410)
  • Ecology (11364)
  • Epidemiology (2066)
  • Evolutionary Biology (15084)
  • Genetics (10397)
  • Genomics (14006)
  • Immunology (9115)
  • Microbiology (22036)
  • Molecular Biology (8777)
  • Neuroscience (47345)
  • Paleontology (350)
  • Pathology (1420)
  • Pharmacology and Toxicology (2480)
  • Physiology (3703)
  • Plant Biology (8045)
  • Scientific Communication and Education (1431)
  • Synthetic Biology (2207)
  • Systems Biology (6014)
  • Zoology (1249)