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

Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona

View ORCID ProfileKai Cao, Yiguang Hong, Lin Wan
doi: https://doi.org/10.1101/2020.11.03.366146
Kai Cao
1LSC, NCMIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
2School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Kai Cao
Yiguang Hong
3Department of Control Science and Engineering, Tongji University, Shanghai 200092, China
1LSC, NCMIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lin Wan
1LSC, NCMIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
2School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: lwan@amss.ac.cn
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/2020.11.03.366146
History 
  • November 4, 2020.
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-NC-ND 4.0 International license.

Author Information

  1. Kai Cao1,2,
  2. Yiguang Hong3,1 and
  3. Lin Wan*,1,2
  1. 1LSC, NCMIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
  2. 2School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
  3. 3Department of Control Science and Engineering, Tongji University, Shanghai 200092, China
  1. ↵*Corresponding author: lwan{at}amss.ac.cn
Back to top
PreviousNext
Posted November 04, 2020.
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.
Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona
(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
Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona
Kai Cao, Yiguang Hong, Lin Wan
bioRxiv 2020.11.03.366146; doi: https://doi.org/10.1101/2020.11.03.366146
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona
Kai Cao, Yiguang Hong, Lin Wan
bioRxiv 2020.11.03.366146; doi: https://doi.org/10.1101/2020.11.03.366146

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 (4095)
  • Biochemistry (8792)
  • Bioengineering (6495)
  • Bioinformatics (23405)
  • Biophysics (11769)
  • Cancer Biology (9173)
  • Cell Biology (13304)
  • Clinical Trials (138)
  • Developmental Biology (7426)
  • Ecology (11391)
  • Epidemiology (2066)
  • Evolutionary Biology (15127)
  • Genetics (10418)
  • Genomics (14029)
  • Immunology (9154)
  • Microbiology (22132)
  • Molecular Biology (8797)
  • Neuroscience (47470)
  • Paleontology (350)
  • Pathology (1423)
  • Pharmacology and Toxicology (2486)
  • Physiology (3712)
  • Plant Biology (8070)
  • Scientific Communication and Education (1434)
  • Synthetic Biology (2217)
  • Systems Biology (6023)
  • Zoology (1251)