Wide-Ranging Coverage of Parametric Modeling in Linear and Nonlinear Mixed Effects
Models Mixed Effects Models for the Population Approach: Models, Tasks, Methods and …

Significant cell-to-cell heterogeneity is ubiquitously observed in isogenic cell populations.
Consequently, parameters of models of intracellular processes, usually fitted to population …

Background Studies of cell-to-cell variation have in recent years grown in interest, due to
improved bioanalytical techniques which facilitates determination of small changes with high …

The last decade has seen a rapid development of experimental techniques that allow data
collection from individual cells. These techniques have enabled the discovery and …

Continuous-time Markov chains are commonly used in practice for modeling biochemical
reaction networks in which the inherent randomness of the molecular interactions cannot be …

In biochemical reaction networks stochasticity arising from molecular fluctuations often plays
an important role. Recent years have seen an increasing number of studies which employed …

Recent works have demonstrated the experimental feasibility of real-time gene expression
control based on deterministic controllers. By taking control of the level of intracellular …

The advent of experimental techniques for the time-course monitoring of gene expression at
the single-cell level has paved the way to the model-based study of gene expression …

The aim of this paper is to propose a computationally efficient technique for the identification
of stochastic biochemical networks, involving only zero and first order reactions, from …

Kinetic models in life science combine mathematics and biology to answer questions from
areas such as cell biology, physiology, biotechnology, and drug development. The idea of …