Discontinuous transcription is evolutionarily conserved and a fundamental feature of gene
regulation; yet, the exact mechanisms underlying transcriptional bursting are unresolved …

Accessing information on an underlying network driving a biological process often involves
interrupting the process and collecting snapshot data. When snapshot data are stochastic …

Exact methods for the exponentiation of matrices of dimension N can be computationally
expensive in terms of execution time (N3) and memory requirements (N2), not to mention …

Noise plays a crucial role in the regulation of cellular and organismal function and behavior.
Exploring noise's impact is key to understanding fundamental biological processes, such as …

Fluorescence lifetime imaging captures the spatial distribution of chemical species across
cellular environments employing pulsed illumination confocal setups. However, quantitative …

Inferring underlying microscopic dynamics from low-dimensional experimental signals is a
central problem in physics, chemistry, and biology. As a trade-off between molecular …

What features of transcription can be learnt by fitting mathematical models of gene
expression to mRNA count data? Given a suite of models, fitting to data selects an optimal …

Many imaging techniques for biological systems—like fixation of cells coupled with
fluorescence microscopy—provide sharp spatial resolution in reporting locations of …

Introduction: Despite continued technological improvements, measurement errors always
reduce or distort the information that any real experiment can provide to quantify cellular …

Inferring parameters of models of biochemical kinetics from single-cell data remains
challenging because of the uncertainty arising from the intractability of the likelihood function …