Results from BELUGA Genetic Algorithm.

The top block contains oxygen tensions from Cheng et al., and most fit individuals for each network from BELUGA optimization. The middle block contains the value of our objective function for each network from the most fit individuals. The bottom block contains the best fit parameter values for each...

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Bibliographic Details
Main Authors: Andrew D. Marquis (10757660), Filip Jezek (10757663), David J. Pinsky (10757666), Daniel A. Beard (9385205)
Format: Dataset
Language:unknown
Published: 2021
Subjects:
Medicine
Cell Biology
Molecular Biology
Physiology
Marine Biology
Cancer
Computational Biology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
vasoconstriction increases whole-lo.
blood flow
hypoxic
ventilation
oxygen transport accounting
multi-scale multi-physics model
ventilation-perfusion
tileable lumped-parameter model
gas exchange efficiency
alveolar-capillary oxygen flux
Beluga
Beluga*
Online Access:https://doi.org/10.1371/journal.pcbi.1008861.t002
Description
Summary:The top block contains oxygen tensions from Cheng et al., and most fit individuals for each network from BELUGA optimization. The middle block contains the value of our objective function for each network from the most fit individuals. The bottom block contains the best fit parameter values for each network.

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