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

Evaluating single-cell cluster stability using the Jaccard similarity index

Ming Tang, Yasin Kaymaz, Brandon Logeman, Stephen Eichhorn, ZhengZheng S. Liang, Catherine Dulac, Timothy B. Sackton
doi: https://doi.org/10.1101/2020.05.26.116640
Ming Tang
1FAS informatics Group, Harvard University
2Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University and Howard Hughes Medical Institute
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yasin Kaymaz
1FAS informatics Group, Harvard University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Brandon Logeman
2Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University and Howard Hughes Medical Institute
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stephen Eichhorn
3Department of Chemistry, Harvard University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
ZhengZheng S. Liang
2Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University and Howard Hughes Medical Institute
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Catherine Dulac
2Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University and Howard Hughes Medical Institute
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Timothy B. Sackton
1FAS informatics Group, Harvard University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: sackton@g.harvard.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Data/Code
  • Preview PDF
Loading

Article usage

Article usage: May 2020 to January 2023

AbstractFullPdf
May 20209580209
Jun 2020125151295
Jul 20202822399
Aug 20202182360
Sep 20202672786
Oct 20202502848
Nov 20201361648
Dec 2020119749
Jan 20211581953
Feb 2021104945
Mar 20211361740
Apr 202160835
May 2021821645
Jun 202176934
Jul 2021819112
Aug 202150667
Sep 202166771
Oct 2021123698
Nov 2021281658
Dec 202131917
Jan 202272427
Feb 202238616
Mar 202235414
Apr 202236229
May 202221128
Jun 202223419
Jul 202239419
Aug 202228117
Sep 202241118
Oct 202249321
Nov 202235113
Dec 202213413
Jan 202338616
Back to top
PreviousNext
Posted May 29, 2020.
Download PDF
Data/Code
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.
Evaluating single-cell cluster stability using the Jaccard similarity index
(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
Evaluating single-cell cluster stability using the Jaccard similarity index
Ming Tang, Yasin Kaymaz, Brandon Logeman, Stephen Eichhorn, ZhengZheng S. Liang, Catherine Dulac, Timothy B. Sackton
bioRxiv 2020.05.26.116640; doi: https://doi.org/10.1101/2020.05.26.116640
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Evaluating single-cell cluster stability using the Jaccard similarity index
Ming Tang, Yasin Kaymaz, Brandon Logeman, Stephen Eichhorn, ZhengZheng S. Liang, Catherine Dulac, Timothy B. Sackton
bioRxiv 2020.05.26.116640; doi: https://doi.org/10.1101/2020.05.26.116640

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 (4092)
  • Biochemistry (8784)
  • Bioengineering (6490)
  • Bioinformatics (23376)
  • Biophysics (11761)
  • Cancer Biology (9163)
  • Cell Biology (13267)
  • Clinical Trials (138)
  • Developmental Biology (7420)
  • Ecology (11379)
  • Epidemiology (2066)
  • Evolutionary Biology (15107)
  • Genetics (10407)
  • Genomics (14017)
  • Immunology (9133)
  • Microbiology (22084)
  • Molecular Biology (8792)
  • Neuroscience (47417)
  • Paleontology (350)
  • Pathology (1421)
  • Pharmacology and Toxicology (2483)
  • Physiology (3709)
  • Plant Biology (8059)
  • Scientific Communication and Education (1433)
  • Synthetic Biology (2213)
  • Systems Biology (6019)
  • Zoology (1251)