We develop a parameter estimation method based on approximate Bayesian computation
(ABC) for a stochastic cell invasion model using fluorescent cell cycle labelling with …

Temporal variation of environmental stimuli leads to changes in gene expression. Since the
latter is noisy and since many reaction events occur between the birth and death of an …

Motivation Gene transcription is a random and noisy process. Tremendous efforts in single-
cell studies have been mapping transcription noises to phenotypic variabilities between …

Recently, there has been an increasing need for tools to simulate cell size regulation due to
important applications in cell proliferation and gene expression. However, implementing the …

Intracellular reaction rates depend on concentrations and hence their levels are often
regulated. However classical models of stochastic gene expression lack a cell size …

Estimating uncertainty in model predictions is a central task in quantitative biology.
Biological models at the single-cell level are intrinsically stochastic and nonlinear, creating …

Splicing cascades that alter gene products posttranscriptionally also affect expression
dynamics. We study a class of processes and associated distributions that emerge from …

Single-cell approaches are revealing a high degree of heterogeneity, or noise, in gene
expression in isogenic bacteria. How gene circuits modulate this noise in gene expression …

The snapshot distribution of mRNA counts per cell can be readily measured using single
molecule FISH or single-cell RNA sequencing. These distributions are often fit to the steady …

The maintenance and regeneration of adult tissues rely on the self-renewal of stem cells.
Regeneration without over-proliferation requires precise regulation of the stem cell …