CaltechAUTHORS
  A Caltech Library Service

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) https://resolver.caltech.edu/CaltechAUTHORS:20200925-104734197

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20200925-104734197

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.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.ccell.2020.09.006DOIArticle
ORCID:
AuthorORCID
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.
Funders:
Funding AgencyGrant Number
NASA/JPL/CaltechUNSPECIFIED
Record Number:CaltechAUTHORS:20200925-104734197
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200925-104734197
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, https://doi.org/10.1016/j.ccell.2020.09.006.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:105549
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:25 Sep 2020 20:13
Last Modified:25 Sep 2020 20:13

Repository Staff Only: item control page