Quantification of model and data uncertainty in a network analysis of cardiac myocyte mechanosignalling.

Cao, Shulin; Aboelkassem, Yasser; Wang, Ariel; Valdez-Jasso, Daniela; Saucerman, Jeffrey J; Omens, Jeffrey H; McCulloch, Andrew D

Cao, Shulin; Aboelkassem, Yasser; Wang, Ariel; Valdez-Jasso, Daniela; Saucerman, Jeffrey J; Omens, Jeffrey H; McCulloch, Andrew D.

Affiliation

Cao S; Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
Aboelkassem Y; Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
Wang A; Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
Valdez-Jasso D; Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
Saucerman JJ; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22904, USA.
Omens JH; Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
McCulloch AD; Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA.

Philos Trans A Math Phys Eng Sci ; 378(2173): 20190336, 2020 Jun 12.

Article in En | MEDLINE | ID: mdl-32448062

Subject(s)

Mechanotransduction, Cellular; Models, Cardiovascular; Myocytes, Cardiac/cytology; Uncertainty

Key words

cell signalling; network model; uncertainty quantification; ventricular myocyte

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Myocytes, Cardiac / Uncertainty / Mechanotransduction, Cellular / Models, Cardiovascular Type of study: Prognostic_studies Language: En Journal: Philos Trans A Math Phys Eng Sci Journal subject: BIOFISICA / ENGENHARIA BIOMEDICA Year: 2020 Document type: Article Affiliation country: United States Country of publication: United kingdom

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