Model reduction in chemical dynamics: slow invariant manifolds, singular perturbations, thermodynamic estimates, and analysis of reaction graph

AN Gorban - Current Opinion in Chemical Engineering, 2018 - Elsevier
The paper has two goals:(1) It presents basic ideas, notions, and methods for reduction of
reaction kinetics models: quasi-steady-state, quasi-equilibrium, slow invariant manifolds …

Granular computing for data analytics: a manifesto of human-centric computing

W Pedrycz - IEEE/CAA Journal of Automatica Sinica, 2018 - ieeexplore.ieee.org
In the plethora of conceptual and algorithmic developments supporting data analytics and
system modeling, humancentric pursuits assume a particular position owing to ways they …

EIciRNA‐mediated gene expression: tunability and bimodality

Q Hu, T Zhou - FEBS letters, 2018 - Wiley Online Library
Biological experiments have verified that EIciRNAs (a class of circRNA) produced from pre‐
mRNA can regulate gene expression, but the effect of regulation remains unexplored. Here …

Boolean networks and their dynamics: the impact of updates

L Paulevé, S Sené - Systems Biology Modelling and Analysis …, 2022 - Wiley Online Library
Boolean networks are a mathematical model that has been widely used since decades in
the context of biological regulation networks' qualitative modelling. They consist in …

Compositionality of rewriting rules with conditions

N Behr, J Krivine - Compositionality, 2021 - compositionality.episciences.org
We extend the notion of compositional associative rewriting as recently studied in the rule
algebra framework literature to the setting of rewriting rules with conditions. Our …

Combinatorial conversion and moment bisimulation for stochastic rewriting systems

N Behr, V Danos, I Garnier - Logical Methods in Computer …, 2020 - lmcs.episciences.org
We develop a novel method to analyze the dynamics of stochastic rewriting systems
evolving over finitary adhesive, extensive categories. Our formalism is based on the so …

MicroRNA based feedforward control of intrinsic gene expression noise

P Bokes, M Hojcka, A Singh - IEEE/ACM Transactions on …, 2019 - ieeexplore.ieee.org
Intrinsic noise, which arises in gene expression at low copy numbers, can be controlled by
diverse regulatory motifs, including feedforward loops. Here, we study an example of a …

Subnetwork inclusion and switching of multilevel Boolean networks preserve parameter graph structure and dynamics

W Duncan, B Cummins, T Gedeon - Frontiers in Applied Mathematics …, 2024 - frontiersin.org
This study addresses a problem of correspondence between dynamics of a parameterized
system and the structure of interactions within that system. The structure of interactions is …

Boolean Networks: Formalism, Semantics and Complexity

L PAULEVÉ - Symbolic Approaches to Modeling and Analysis of …, 2023 - books.google.com
This chapter presents the formalism of Boolean networks and their relation to classic models
from fundamental computer science, in particular with Petri nets with different update …

Buffering gene expression noise by microRNA based feedforward regulation

P Bokes, M Hojcka, A Singh - … 2018, Brno, Czech Republic, September 12 …, 2018 - Springer
Cells use various regulatory motifs, including feedforward loops, to control the intrinsic noise
that arises in gene expression at low copy numbers. Here we study one such system, which …