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dc.contributor.authorCummins, Bree
dc.contributor.authorGedeon, Tomas
dc.contributor.authorHarker, Shaun
dc.contributor.authorMischaikow, Konstantin
dc.date.accessioned2018-11-14T17:46:59Z
dc.date.available2018-11-14T17:46:59Z
dc.date.issued2018-06
dc.identifier.citationCummins, Bree, Tomas Gedeon, Shaun Harker, and Konstantin Mischaikow. "DSGRN: Examining the Dynamics of Families of Logical Models." Frontiers in Physiology 9 (June 2018). DOI:10.3389/fphys.2018.00549.en_US
dc.identifier.issn1664-042X
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/15003
dc.description.abstractWe present a computational tool DSGRN for exploring the dynamics of a network by computing summaries of the dynamics of switching models compatible with the network across all parameters. The network can arise directly from a biological problem, or indirectly as the interaction graph of a Boolean model. This tool computes a finite decomposition of parameter space such that for each region, the state transition graph that describes the coarse dynamical behavior of a network is the same. Each of these parameter regions corresponds to a different logical description of the network dynamics. The comparison of dynamics across parameters with experimental data allows the rejection of parameter regimes or entire networks as viable models for representing the underlying regulatory mechanisms. This in turn allows a search through the space of perturbations of a given network for networks that robustly fit the data. These are the first steps toward discovering a network that optimally matches the observed dynamics by searching through the space of networks.en_US
dc.description.sponsorshipNational Science Foundation; US Department of Agriculture; National Institutes of Healthen_US
dc.language.isoenen_US
dc.rightsCC BY, This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcodeen_US
dc.titleDSGRN: Examining the Dynamics of Families of Logical Modelsen_US
dc.typeArticleen_US
mus.citation.journaltitleFrontiers in Physiologyen_US
mus.citation.volume9en_US
mus.identifier.categoryPhysics & Mathematicsen_US
mus.identifier.doi10.3389/fphys.2018.00549en_US
mus.relation.collegeCollege of Letters & Scienceen_US
mus.relation.departmentMathematical Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.data.thumbpage6en_US
mus.contributor.orcidGedeon, Tomas|0000-0001-5555-6741en_US


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CC BY, This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.
Except where otherwise noted, this item's license is described as CC BY, This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.

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