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

The value of prior knowledge in machine learning of complex network systems

David Craft, Dana Ferranti, David Krane
doi: https://doi.org/10.1101/094151
David Craft
Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dana Ferranti
Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David Krane
Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/094151
History 
  • December 14, 2016.

Article Versions

  • You are currently viewing Version 1 of this article (December 14, 2016 - 13:25).
  • Version 2 (December 15, 2016 - 12:25).
  • View Version 3, the most recent version of this article.
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. David Craft,
  2. Dana Ferranti and
  3. David Krane
  1. Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School
Back to top
PreviousNext
Posted December 14, 2016.
Download PDF
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.
The value of prior knowledge in machine learning of complex network systems
(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
The value of prior knowledge in machine learning of complex network systems
David Craft, Dana Ferranti, David Krane
bioRxiv 094151; doi: https://doi.org/10.1101/094151
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
The value of prior knowledge in machine learning of complex network systems
David Craft, Dana Ferranti, David Krane
bioRxiv 094151; doi: https://doi.org/10.1101/094151

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 (3514)
  • Biochemistry (7364)
  • Bioengineering (5341)
  • Bioinformatics (20316)
  • Biophysics (10038)
  • Cancer Biology (7769)
  • Cell Biology (11346)
  • Clinical Trials (138)
  • Developmental Biology (6445)
  • Ecology (9977)
  • Epidemiology (2065)
  • Evolutionary Biology (13351)
  • Genetics (9369)
  • Genomics (12603)
  • Immunology (7724)
  • Microbiology (19083)
  • Molecular Biology (7458)
  • Neuroscience (41125)
  • Paleontology (300)
  • Pathology (1235)
  • Pharmacology and Toxicology (2142)
  • Physiology (3174)
  • Plant Biology (6873)
  • Scientific Communication and Education (1276)
  • Synthetic Biology (1900)
  • Systems Biology (5324)
  • Zoology (1091)