CaltechAUTHORS
Published December 14, 2020 | Version public
Journal Article Metadata-only

Cancer Biomarkers and Big Data: A Planetary Science Approach

Creators

  • 1. ROR icon Jet Propulsion Lab
  • 2. ROR icon Baylor College of Medicine
  • 3. ROR icon University of North Carolina at Chapel Hill
  • 4. ROR icon Fred Hutchinson Cancer Research Center
  • 5. ROR icon City of Hope
  • 6. ROR icon California Institute of Technology
  • 7. ROR icon National Cancer Institute

Abstract

Cancer biomarker research has become a data-intensive discipline requiring innovative approaches for data analysis that can combine traditional and data-driven methods. Significant leveraging can be done transferring methodologies and capabilities across scientific disciplines, such as planetary science and astronomy, each of which are grappling with and developing similar solutions for the analysis of massive scientific data.

Additional Information

© 2020 Published by Elsevier. Available online 24 September 2020. We would like to thank the NCI and the EDRN and MCL investigators. Part of the research was performed at the Jet Propulsion Laboratory, California Institute of Technology under contract with the National Aeronautics and Space Administration.

Additional details

Identifiers

Eprint ID
105549
Resolver ID
CaltechAUTHORS:20200925-104734197

Funding

NASA/JPL/Caltech

Dates

Created
2020-09-25
Created from EPrint's datestamp field
Updated
2021-11-16
Created from EPrint's last_modified field