Stochastic fluctuations of molecule numbers are ubiquitous in biological systems. Important
examples include gene expression and enzymatic processes in living cells. Such systems …

Phenotypic variation is ubiquitous in biology and is often traceable to underlying genetic and
environmental variation. However, even genetically identical cells in identical environments …

We perform a thorough analysis of RNA velocity methods, with a view towards
understanding the suitability of the various assumptions underlying popular …

This paper presents the Neural Network Verification (NNV) software tool, a set-based
verification framework for deep neural networks (DNNs) and learning-enabled cyber …

Non-Markovian models of stochastic biochemical kinetics often incorporate explicit time
delays to effectively model large numbers of intermediate biochemical processes. Analysis …

At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …

Synthetic genetic programs are built from circuits that integrate sensors and implement
temporal control of gene expression,,,. Transcriptional circuits are layered by using …

Transcription is a stochastic process occurring mostly in episodic bursts. Although the local
chromatin environment is known to influence the bursting behavior on long timescales, the …

Like many eukaryotes, bacteria make widespread use of postreplicative DNA methylation for
the epigenetic control of DNA-protein interactions. Unlike eukaryotes, however, bacteria use …

Recent experimental developments in genome-wide RNA quantification hold considerable
promise for systems biology. However, rigorously probing the biology of living cells requires …