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

Structured decomposition improves systems serology prediction and interpretation

Madeleine Murphy, Scott D. Taylor, View ORCID ProfileAaron S. Meyer
doi: https://doi.org/10.1101/2021.01.03.425138
Madeleine Murphy
1Computational and Systems Biology, University of California, Los Angeles
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Scott D. Taylor
2Department of Bioengineering, University of California, Los Angeles
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Aaron S. Meyer
2Department of Bioengineering, University of California, Los Angeles
4Department of Bioinformatics, University of California, Los Angeles
5Jonsson Comprehensive Cancer Center, University of California, Los Angeles
6Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Aaron S. Meyer
  • For correspondence: ameyer@ucla.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Data/Code
  • Preview PDF
Loading

Article usage

Article usage: January 2021 to May 2022

AbstractFullPdf
Jan 202161351147
Feb 20211571450
Mar 20211361765
Apr 2021107829
May 202148617
Jun 2021401222
Jul 202118313
Aug 2021371215
Sep 202125319
Oct 202136249
Nov 2021161217
Dec 20211755
Jan 20223065
Feb 202287458
Mar 202225108
Apr 202234310
May 202214210
Back to top
PreviousNext
Posted January 22, 2021.
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.
Structured decomposition improves systems serology prediction and interpretation
(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
Structured decomposition improves systems serology prediction and interpretation
Madeleine Murphy, Scott D. Taylor, Aaron S. Meyer
bioRxiv 2021.01.03.425138; doi: https://doi.org/10.1101/2021.01.03.425138
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Structured decomposition improves systems serology prediction and interpretation
Madeleine Murphy, Scott D. Taylor, Aaron S. Meyer
bioRxiv 2021.01.03.425138; doi: https://doi.org/10.1101/2021.01.03.425138

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

  • Immunology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3505)
  • Biochemistry (7348)
  • Bioengineering (5324)
  • Bioinformatics (20266)
  • Biophysics (10019)
  • Cancer Biology (7744)
  • Cell Biology (11305)
  • Clinical Trials (138)
  • Developmental Biology (6437)
  • Ecology (9953)
  • Epidemiology (2065)
  • Evolutionary Biology (13325)
  • Genetics (9361)
  • Genomics (12586)
  • Immunology (7702)
  • Microbiology (19024)
  • Molecular Biology (7443)
  • Neuroscience (41041)
  • Paleontology (300)
  • Pathology (1229)
  • Pharmacology and Toxicology (2138)
  • Physiology (3161)
  • Plant Biology (6861)
  • Scientific Communication and Education (1273)
  • Synthetic Biology (1896)
  • Systems Biology (5313)
  • Zoology (1089)