A Caltech Library Service

Cancer Biomarkers and Big Data: A Planetary Science Approach

Crichton, Daniel J. and Altinok, Alphan and Amos, Christopher I. and Anton, Kristen and Cinquini, Luca and Colbert, Maureen and Feng, Ziding and Goel, Ajay and Kelly, Sean and Kincaid, Heather and Liu, David and Lombeyda, Santiago and Mahabal, Ashish A. and Mishra, Asitang and Patriotis, Christos and Srivastava, Sudhir (2020) Cancer Biomarkers and Big Data: A Planetary Science Approach. Cancer Cell, 38 (6). pp. 757-760. ISSN 1535-6108. doi:10.1016/j.ccell.2020.09.006.

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

Use this Persistent URL to link to this item:


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
Mahabal, Ashish 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.
Funding AgencyGrant Number
Issue or Number:6
Record Number:CaltechAUTHORS:20200925-104734197
Persistent URL:
Official Citation:Daniel J. Crichton, Alphan Altinok, Christopher I. Amos, Kristen Anton, Luca Cinquini, Maureen Colbert, Ziding Feng, Ajay Goel, Sean Kelly, Heather Kincaid, David Liu, Santiago Lombeyda, Ashish Mahabal, Asitang Mishra, Christos Patriotis, Sudhir Srivastava, Cancer Biomarkers and Big Data: A Planetary Science Approach, Cancer Cell, Volume 38, Issue 6, 2020, Pages 757-760, 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:16 Nov 2021 18:44

Repository Staff Only: item control page