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

Integrating Biomedical Research and Electronic Health Records to Create Knowledge Based Biologically Meaningful Machine Readable Embeddings

Charlotte A. Nelson, View ORCID ProfileAtul J. Butte, View ORCID ProfileSergio E. Baranzini
doi: https://doi.org/10.1101/540963
Charlotte A. Nelson
1Integrated Program in Quantitative Biology. University of California San Francisco
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Atul J. Butte
2Bakar Computational Health Sciences Institute. University of California San Francisco
3Department of Pediatrics. University of California San Francisco
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Atul J. Butte
Sergio E. Baranzini
2Bakar Computational Health Sciences Institute. University of California San Francisco
4Weill Institute for Neuroscience. Department of Neurology. University of California San Francisco
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sergio E. Baranzini
  • For correspondence: Sergio.Baranzini@ucsf.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/540963
History 
  • February 5, 2019.
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 4.0 International license.

Author Information

  1. Charlotte A. Nelson1,
  2. Atul J. Butte2,3 and
  3. Sergio E. Baranzini2,4,*
  1. 1Integrated Program in Quantitative Biology. University of California San Francisco
  2. 2Bakar Computational Health Sciences Institute. University of California San Francisco
  3. 3Department of Pediatrics. University of California San Francisco
  4. 4Weill Institute for Neuroscience. Department of Neurology. University of California San Francisco
  1. ↵*Corresponding author: Sergio E. Baranzini, e-mail: Sergio.Baranzini{at}ucsf.edu, Phone: 415-502-6865, 675 Nelson Rising Lane. San Francisco, CA. 94158. USA.
Back to top
PreviousNext
Posted February 05, 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.
Integrating Biomedical Research and Electronic Health Records to Create Knowledge Based Biologically Meaningful Machine Readable Embeddings
(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
Integrating Biomedical Research and Electronic Health Records to Create Knowledge Based Biologically Meaningful Machine Readable Embeddings
Charlotte A. Nelson, Atul J. Butte, Sergio E. Baranzini
bioRxiv 540963; doi: https://doi.org/10.1101/540963
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Integrating Biomedical Research and Electronic Health Records to Create Knowledge Based Biologically Meaningful Machine Readable Embeddings
Charlotte A. Nelson, Atul J. Butte, Sergio E. Baranzini
bioRxiv 540963; doi: https://doi.org/10.1101/540963

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

  • Systems Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4087)
  • Biochemistry (8768)
  • Bioengineering (6481)
  • Bioinformatics (23349)
  • Biophysics (11753)
  • Cancer Biology (9150)
  • Cell Biology (13256)
  • Clinical Trials (138)
  • Developmental Biology (7417)
  • Ecology (11372)
  • Epidemiology (2066)
  • Evolutionary Biology (15091)
  • Genetics (10402)
  • Genomics (14012)
  • Immunology (9123)
  • Microbiology (22050)
  • Molecular Biology (8780)
  • Neuroscience (47381)
  • Paleontology (350)
  • Pathology (1420)
  • Pharmacology and Toxicology (2482)
  • Physiology (3705)
  • Plant Biology (8054)
  • Scientific Communication and Education (1431)
  • Synthetic Biology (2209)
  • Systems Biology (6016)
  • Zoology (1250)