Model selection for assessing the effects of doxorubicin on triple-negative breast cancer cell lines

DOI10.1007/s00285-022-01828-xzbMath1505.92107OpenAlexW4308769979MaRDI QIDQ2105797

Ernesto A. B. F. Lima, Anna Claudia M. Resende, Thomas E. Yankeelov, Matthew T. McKenna, Regina C. Almeida

Publication date: 8 December 2022

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00285-022-01828-x

zbMATH Keywords

tumor growthmathematical modelingBayesian calibrationdoxorubicin

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical applications (general) (92C50)

Uses Software

• QUESO
• GitHub

Cites Work

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• A hybrid ten-species phase-field model of tumor growth
• GENERAL DIFFUSE-INTERFACE THEORIES AND AN APPROACH TO PREDICTIVE TUMOR GROWTH MODELING
• An efficient computational approach for prior sensitivity analysis and cross‐validation
• Model Selection and Multimodel Inference
• Inverse Problem Theory and Methods for Model Parameter Estimation
• 12.1 Continuum Models of Avascular Tumor Growth
• Model Based Inference in the Life Sciences: A Primer on Evidence

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