110 citations · 397 across the 18 of their papers we have counts for
4 papers · 1 filter
Efficient analysis of stochastic gene dynamics in the non-adiabatic regime using piecewise deterministic Markov processes
Yen Ting Lin, Nicolas E. Buchler
Single-cell experiments show that gene expression is stochastic and bursty, a feature that can emerge from slow switching between promoter states with different activities. One sou…
A stochastic and dynamical view of pluripotency in mouse embryonic stem cells
Yen Ting Lin, Peter G. Hufton, Esther J. Lee +1
Pluripotent embryonic stem cells are of paramount importance for biomedical research thanks to their innate ability for self-renewal and differentiation into all major cell lines.…
Gene expression dynamics with stochastic bursts: exact results for a coarse-grained model
Yen Ting Lin, Charles R. Doering
We present a theoretical framework to analyze the dynamics of gene expression with stochastic bursts. Beginning with an individual-based model which fully accounts for the messenge…
Bursting noise in gene expression dynamics: Linking microscopic and mesoscopic models
Yen Ting Lin, Tobias Galla
The dynamics of short-lived mRNA results in bursts of protein production in gene regulatory networks. We investigate the propagation of bursting noise between different levels of m…