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dc.contributor.authorYang, Ming
dc.contributor.authorYang, Louis Z.
dc.date.accessioned2022-12-05T15:20:20Z
dc.date.available2022-12-05T15:20:20Z
dc.date.issued2018-01-29
dc.identifier.citationYang, M., Yang, L.Z. (2018). Determining a reasonable range of relative numerical tolerance values for simulating deterministic models of biochemical reactions. https://doi.org/10.1101/256214
dc.identifier.urihttps://hdl.handle.net/11244/336862
dc.description.abstractWhat values of relative numerical tolerance should be chosen in simulation of a deterministic model of a biochemical reaction is unclear, which impairs the modeling effort since the simulation outcomes of a model may depend on the relative numerical tolerance values. In an attempt to provide a guideline to selecting appropriate numerical tolerance values in simulation of in vivo biochemical reactions, reasonable numerical tolerance values were estimated based on the uncertainty principle and assumptions of related cellular parameters. The calculations indicate that relative numerical tolerance values can be reasonably set at or around 10^4 for the concentrations expressed in ng/L. This work also suggests that further reducing relative numerical values may result in erroneous simulation results.
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dc.relation.urihttp://dx.doi.org/10.1101/256214
dc.rightsThis material has been previously published. In the Oklahoma State University Library's institutional repository this version is made available through the open access principles and the terms of agreement/consent between the author(s) and the publisher. The permission policy on the use, reproduction or distribution of the material falls under fair use for educational, scholarship, and research purposes. Contact Digital Resources and Discovery Services at lib-dls@okstate.edu or 405-744-9161 for further information.
dc.titleDetermining a reasonable range of relative numerical tolerance values for simulating deterministic models of biochemical reactions
dc.date.updated2022-11-23T22:07:56Z
dc.identifier.doi10.1101/256214
dc.description.departmentPlant Biology, Ecology, and Evolution
dc.type.genrePreprint
dc.type.materialText
dc.relation.oaurlhttps://doi.org/10.1089/cmb.2018.0026
dc.identifier.authorORCID: 0000-0002-7499-3338 (Yang, Ming)
dc.identifier.authorScopusID: 57151591400 (Yang, Ming)


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