Cancer Biomarkers and Big Data: A Planetary Science Approach.

Autor:	Crichton DJ; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA., Altinok A; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA., Amos CI; Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA., Anton K; University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA., Cinquini L; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA., Colbert M; University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA., Feng Z; Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA., Goel A; City of Hope, Duarte, CA 91010, USA., Kelly S; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA., Kincaid H; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA., Liu D; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA., Lombeyda S; California Institute of Technology, Pasadena, CA 91125, USA., Mahabal A; California Institute of Technology, Pasadena, CA 91125, USA., Mishra A; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA., Patriotis C; National Cancer Institute, Rockville, MD 20850, USA., Srivastava S; National Cancer Institute, Rockville, MD 20850, USA. Electronic address: srivasts@mail.nih.gov.
Jazyk:	angličtina
Zdroj:	Cancer cell [Cancer Cell] 2020 Dec 14; Vol. 38 (6), pp. 757-760. Date of Electronic Publication: 2020 Sep 24.
DOI:	10.1016/j.ccell.2020.09.006
Abstrakt:	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. (Published by Elsevier Inc.)
Databáze:	MEDLINE
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