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

Model-based Trajectory Inference for Single-Cell RNA Sequencing Using Deep Learning with a Mixture Prior

Jin-Hong Du, Ming Gao, Jingshu Wang
doi: https://doi.org/10.1101/2020.12.26.424452
Jin-Hong Du
Department of Statistics, The University of Chicago
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ming Gao
Department of Statistics, The University of Chicago
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jingshu Wang
Department of Statistics, The University of Chicago
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: jingshuw@uchicago.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Data/Code
  • Preview PDF
Loading
  • https://github.com/jaydu1/VITAE

Back to top
PreviousNext
Posted December 30, 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.
Model-based Trajectory Inference for Single-Cell RNA Sequencing Using Deep Learning with a Mixture Prior
(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
Model-based Trajectory Inference for Single-Cell RNA Sequencing Using Deep Learning with a Mixture Prior
Jin-Hong Du, Ming Gao, Jingshu Wang
bioRxiv 2020.12.26.424452; doi: https://doi.org/10.1101/2020.12.26.424452
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Model-based Trajectory Inference for Single-Cell RNA Sequencing Using Deep Learning with a Mixture Prior
Jin-Hong Du, Ming Gao, Jingshu Wang
bioRxiv 2020.12.26.424452; doi: https://doi.org/10.1101/2020.12.26.424452

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

  • Genetics
Subject Areas
All Articles
  • Animal Behavior and Cognition (2518)
  • Biochemistry (4968)
  • Bioengineering (3472)
  • Bioinformatics (15185)
  • Biophysics (6886)
  • Cancer Biology (5380)
  • Cell Biology (7716)
  • Clinical Trials (138)
  • Developmental Biology (4519)
  • Ecology (7135)
  • Epidemiology (2059)
  • Evolutionary Biology (10210)
  • Genetics (7502)
  • Genomics (9772)
  • Immunology (4824)
  • Microbiology (13183)
  • Molecular Biology (5129)
  • Neuroscience (29368)
  • Paleontology (203)
  • Pathology (836)
  • Pharmacology and Toxicology (1461)
  • Physiology (2131)
  • Plant Biology (4737)
  • Scientific Communication and Education (1008)
  • Synthetic Biology (1337)
  • Systems Biology (4003)
  • Zoology (768)