activity
20152026
most citedOperon Dynamics with State Dependent Transcription and/or Translation Delays

17 citations · 51 across the 13 of their papers we have counts for

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11 papers · 1 filter

math.DS2026

A smooth Riemannian metric on an arbitrary product of spheres with Bernoulli geodesic flow

Keith Burns, Tomas Gedeon, Yuping Ruan

We construct a smooth Riemannian metric on an arbitrary product of spheres whose geodesic flow is Bernoulli with respect to the Liouville measure.

math.DS2023★ 1 cited

A Nonlinear Delay Model for Metabolic Oscillations in Yeast Cells

Max M. Chumley, Firas A. Khasawneh, Andreas Otto +1

We introduce two time-delay models of metabolic oscillations in yeast cells. Our model tests a hypothesis that the oscillations occur as multiple pathways share a limited resource…

math.DS2021

Extending combinatorial regulatory network modeling to include activity control and decay modulation

Bree Cummins, Marcio Gameiro, Tomas Gedeon +3

Understanding how the structure of within-system interactions affects the dynamics of the system is important in many areas of science. We extend a network dynamics modeling platfo…

math.DS2021★ 17 cited

Operon Dynamics with State Dependent Transcription and/or Translation Delays

Tomas Gedeon, Antony R. Humphries, Michael C. Mackey +3

Transcription and translation retrieve and operationalize gene encoded information in cells. These processes are not instantaneous and incur significant delays. In this paper we st…

math.DS2021

Equilibria and their Stability in Networks with Steep Sigmoidal Nonlinearities

William Duncan, Tomas Gedeon, Hiroshi Kokubu +2

In this paper we investigate equilibria of continuous differential equation models of network dynamics. The motivation comes from gene regulatory networks where each directed edge…

math.DS2020

Joint Realizability of Monotone Boolean functions

Peter Crawford-Kahrl, Bree Cummins, Tomas Gedeon

The study of monotone Boolean functions (MBFs) has a long history. We explore a connection between MBFs and ordinary differential equation (ODE) models of gene regulation, and, in…

math.DS2020★ 15 cited

Rational design of complex phenotype via network models

Marcio Gameiro, Tomas Gedeon, Shane Kepley +1

We demonstrate a modeling and computational framework that allows for rapid screening of thousands of potential network designs for particular dynamic behavior. To illustrate this…

math.DS2018★ 5 cited

Comparison of two combinatorial models of global network dynamics

Peter Crawford-Kahrl, Bree Cummins, Tomas Gedeon

Modeling the dynamics of biological networks introduces many challenges, among them the lack of first principle models, the size of the networks, and difficulties with parameteriza…

math.DS2017

Model rejection and parameter reduction via time series

Bree Cummins, Tomas Gedeon, Shaun Harker +1

We show how a graph algorithm for finding matching labeled paths in pairs of labeled directed graphs can be used to perform model validation for a class of dynamical systems includ…

math.DS2015★ 2 cited

Combinatorial Representation of Parameter Space for Switching Systems

Bree Cummins, Tomas Gedeon, Shaun Harker +2

We describe the theoretical and computational framework for the Dynamic Signatures for Genetic Regulatory Network (DSGRN) database. The motivation stems from urgent need to underst…

math.DS2015★ 9 cited

Global Dynamics for Steep Sigmoidal Nonlinearities in Two Dimensions

Tomas Gedeon, Shaun Harker, Hiroshi Kokubu +2

We introduce a novel approach to obtaining mathematically rigorous results on the global dynamics of ordinary differential equations. Motivated by models of regulatory networks, we…