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Mathematical Biosciences
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October 13, 2017
A computational approach to extinction events in chemical reaction networks with discrete state spaces
Matthew D Johnston
Bulletin of Mathematical Biology
|
March 11, 2014
Translated chemical reaction networks
Matthew D Johnston
Bulletin of Mathematical Biology
|
April 22, 2015
A Computational Approach to Steady State Correspondence of Regular and Generalized Mass Action Systems
Matthew D Johnston
Bulletin of Mathematical Biology
|
February 22, 2019
Computing Weakly Reversible Deficiency Zero Network Translations Using Elementary Flux Modes
Matthew D Johnston, Evan Burton
Bulletin of Mathematical Biology
|
August 9, 2018
Network Translation and Steady-State Properties of Chemical Reaction Systems
Elisa Tonello, Matthew D Johnston
Mathematical Biosciences and Engineering : MBE
|
December 31, 2020
A dynamical framework for modeling fear of infection and frustration with social distancing in COVID-19 spread
Matthew D Johnston, Bruce Pell
Journal of Mathematical Biology
|
May 20, 2015
A computational approach to persistence, permanence, and endotacticity of biochemical reaction systems
Matthew D Johnston, Casian Pantea, Pete Donnell
Bulletin of Mathematical Biology
|
January 2, 2019
A Deficiency-Based Approach to Parametrizing Positive Equilibria of Biochemical Reaction Systems
Matthew D Johnston, Stefan Müller, Casian Pantea
Mathematical Biosciences
|
October 20, 2012
Computing weakly reversible linearly conjugate chemical reaction networks with minimal deficiency
Matthew D Johnston, David Siegel, Gábor Szederkényi
Mathematical Biosciences and Engineering : MBE
|
August 29, 2022
A data-validated temporary immunity model of COVID-19 spread in Michigan
Bruce Pell, Matthew D Johnston, Patrick Nelson
Page
of 2
Search research articles
Search
Showing results (1-10 of 20) with videos related to
Sort By:
Page
of 2
Mathematical Biosciences
|
October 13, 2017
A computational approach to extinction events in chemical reaction networks with discrete state spaces
Matthew D Johnston
Bulletin of Mathematical Biology
|
March 11, 2014
Translated chemical reaction networks
Matthew D Johnston
Bulletin of Mathematical Biology
|
April 22, 2015
A Computational Approach to Steady State Correspondence of Regular and Generalized Mass Action Systems
Matthew D Johnston
Bulletin of Mathematical Biology
|
February 22, 2019
Computing Weakly Reversible Deficiency Zero Network Translations Using Elementary Flux Modes
Matthew D Johnston, Evan Burton
Bulletin of Mathematical Biology
|
August 9, 2018
Network Translation and Steady-State Properties of Chemical Reaction Systems
Elisa Tonello, Matthew D Johnston
Mathematical Biosciences and Engineering : MBE
|
December 31, 2020
A dynamical framework for modeling fear of infection and frustration with social distancing in COVID-19 spread
Matthew D Johnston, Bruce Pell
Journal of Mathematical Biology
|
May 20, 2015
A computational approach to persistence, permanence, and endotacticity of biochemical reaction systems
Matthew D Johnston, Casian Pantea, Pete Donnell
Bulletin of Mathematical Biology
|
January 2, 2019
A Deficiency-Based Approach to Parametrizing Positive Equilibria of Biochemical Reaction Systems
Matthew D Johnston, Stefan Müller, Casian Pantea
Mathematical Biosciences
|
October 20, 2012
Computing weakly reversible linearly conjugate chemical reaction networks with minimal deficiency
Matthew D Johnston, David Siegel, Gábor Szederkényi
Mathematical Biosciences and Engineering : MBE
|
August 29, 2022
A data-validated temporary immunity model of COVID-19 spread in Michigan
Bruce Pell, Matthew D Johnston, Patrick Nelson
Page
of 2