13 citations · 26 across the 12 of their papers we have counts for
16 papers
Structural Identifiability of Compartmental Models: Recent Progress and Future Directions
Nicolette Meshkat, Anne Shiu
We summarize recent progress on the theory and applications of structural identifiability of compartmental models. On the applications side, we review identifiability analyses unde…
Absolute concentration robustness: Algebra and geometry
Luis David García Puente, Elizabeth Gross, Heather A Harrington +4
Motivated by the question of how biological systems maintain homeostasis in changing environments, Shinar and Feinberg introduced in 2010 the concept of absolute concentration robu…
Algorithm to find new identifiable reparametrizations of parametric rational ODE models
Nicolette Meshkat, Alexey Ovchinnikov, Thomas Scanlon
Structural identifiability concerns the question of which unknown parameters of a model can be recovered from (perfect) input-output data. If all of the parameters of a model can b…
Graph-based sufficient conditions for indistinguishability of linear compartmental models
Cashous Bortner, Nicolette Meshkat
An important problem in biological modeling is choosing the right model. Given experimental data, one is supposed to find the best mathematical representation to describe the real-…
Identifiability of linear compartmental tree models and a general formula for input-output equations
Cashous Bortner, Elizabeth Gross, Nicolette Meshkat +2
A foundational question in the theory of linear compartmental models is how to assess whether a model is structurally identifiable -- that is, whether parameter values can be infer…
Absolute concentration robustness in networks with low-dimensional stoichiometric subspace
Nicolette Meshkat, Anne Shiu, Angélica Torres
A reaction system exhibits "absolute concentration robustness" (ACR) in some species if the positive steady-state value of that species does not depend on initial conditions. Mathe…