Using Emulation to Engineer and Understand Simulations of Biological Systems

Modeling and simulation techniques have demonstrated success in studying biological systems. As the drive to better capture biological complexity leads to more sophisticated simulators, it becomes challenging to perform statistical analyses that help translate predictions into increased understandin...

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Veröffentlicht in:	IEEE/ACM transactions on computational biology and bioinformatics Jg. 17; H. 1; S. 302 - 315
Hauptverfasser:	Alden, Kieran, Cosgrove, Jason, Coles, Mark, Timmis, Jon
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Analytical models approximate Bayesian computation Bayes Theorem Bayesian analysis Biological system modeling Biological systems Computational modeling Computer Simulation Dimensional analysis Emulation Emulators ensemble Exploitation Flight simulators Learning algorithms Lymphoid tissue Machine Learning Mathematical models mechanistic modeling Models, Biological multi-objective optimization Multiple objective analysis Optimization Organogenesis Parameters sensitivity analysis Statistical analysis Statistics Systems Biology - methods Uncertainty
ISSN:	1545-5963, 1557-9964, 1557-9964
Online-Zugang:	Volltext
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