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

Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses

View ORCID ProfileElisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore
doi: https://doi.org/10.1101/2020.08.24.265116
Elisabetta Manduchi
1Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
2Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Elisabetta Manduchi
Weixuan Fu
2Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joseph D. Romano
1Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stefano Ruberto
1Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jason H. Moore
1Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
2Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: jhmoore@upenn.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/2020.08.24.265116
History 
  • August 24, 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 4.0 International license.

Author Information

  1. Elisabetta Manduchi1,2,
  2. Weixuan Fu2,
  3. Joseph D. Romano1,
  4. Stefano Ruberto1 and
  5. Jason H. Moore1,2,*
  1. 1Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
  2. 2Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
  1. ↵*Corresponding author: jhmoore{at}upenn.edu
Back to top
PreviousNext
Posted August 24, 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.
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses
(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
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses
Elisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore
bioRxiv 2020.08.24.265116; doi: https://doi.org/10.1101/2020.08.24.265116
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses
Elisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore
bioRxiv 2020.08.24.265116; doi: https://doi.org/10.1101/2020.08.24.265116

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 (4094)
  • Biochemistry (8784)
  • Bioengineering (6490)
  • Bioinformatics (23377)
  • Biophysics (11761)
  • Cancer Biology (9163)
  • Cell Biology (13267)
  • Clinical Trials (138)
  • Developmental Biology (7420)
  • Ecology (11380)
  • Epidemiology (2066)
  • Evolutionary Biology (15109)
  • Genetics (10408)
  • Genomics (14017)
  • Immunology (9133)
  • Microbiology (22085)
  • Molecular Biology (8792)
  • Neuroscience (47417)
  • Paleontology (350)
  • Pathology (1421)
  • Pharmacology and Toxicology (2483)
  • Physiology (3710)
  • Plant Biology (8060)
  • Scientific Communication and Education (1433)
  • Synthetic Biology (2213)
  • Systems Biology (6019)
  • Zoology (1251)