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Cancer Biomarkers and Big Data: A Planetary Science Approach

Crichton, D. J. and Alphan, A. and Amos, C. I. and Anton, K. and Cinquini, L. and Colbert, M. and Feng, Z. and Goel, A. and Kelly, S. and Kincaid, H. and Liu, Y. and Lombeyda, S. and Mahabal, A. and Mishra, A. and Patriotis, C. and Srivastava, S. (2020) Cancer Biomarkers and Big Data: A Planetary Science Approach. Cancer Cell . ISSN 1535-6108. (In Press)

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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.

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Mahabal, A.0000-0003-2242-0244
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.
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Record Number:CaltechAUTHORS:20200925-104734197
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Official Citation:D.J. Crichton, A. Alphan, C.I. Amos, K. Anton, L. Cinquini, M. Colbert, Z. Feng, A. Goel, S. Kelly, H. Kincaid, Y. Liu, S. Lombeyda, A. Mahabal, A. Mishra, C. Patriotis, S. Srivastava, Cancer Biomarkers and Big Data: A Planetary Science Approach, Cancer Cell, 2020, , ISSN 1535-6108,
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:105549
Deposited By: George Porter
Deposited On:25 Sep 2020 20:13
Last Modified:25 Sep 2020 20:13

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