Distinguishing between models of mammalian gene expression: telegraph …
2021年10月6日 · One of the most popular models of gene expression is the telegraph model, a two-state model where genes are assumed to be either on or off, being able to produce mature messenger RNA (mRNA) in the on state and having no …
What can we learn when fitting a simple telegraph model to a
2024年5月14日 · In this paper, we investigate four complex gene expression models by fitting their steady-state mRNA or protein number distributions to the telegraph model and then obtain estimates of the effective parameters.
Gene expression model inference from snapshot RNA data using …
2023年1月19日 · The two-state, or telegraph, model allows the gene’s expression to transition between an inactive and active state 28.
Solving stochastic gene-expression models using queueing …
2024年5月7日 · We discuss the interpretation of six types of infinite-server queues from the angle of stochastic single-cell biology and provide analytical expressions for the stationary and nonstationary distributions and/or moments of mRNA/protein numbers and …
2020年1月5日 · Here we consider multistate models of gene expression which generalise the canonical Telegraph process, and are capable of capturing the joint effects of e.g. transcription factors, heterochromatin state and DNA accessibility (or, in prokaryotes, Sigma-factor activity) on transcript abundance.
What can we learn when fitting a simple telegraph model to a …
2024年5月14日 · Here we investigate the dynamical properties of four relatively complex gene expression models by fitting their steady-state mRNA or protein number distributions to the simple telegraph model.
One of the most popular models of gene expression is the telegraph model, a two-state model where genes are assumed to be either on or off , being able to produce mature messenger RNA (mRNA) in the on state and having no mature mRNA production in the off state [1–3].
2023年3月12日 · Here we investigate the dynamical properties of four complex gene expression models by fitting their steady-state mRNA or protein number distributions to the simple telegraph model.
2023年3月9日 · Here we investigate the dynamical properties of four relatively complex gene expression models by fitting their steady-state mRNA or protein number distributions to the simple telegraph model.
Solving stochastic gene-expression models using queueing …
We discuss the interpretation of six types of infinite-server queues from the angle of stochastic single-cell biology and provide analytical expressions for the stationary and nonstationary distributions and/or moments of mRNA/protein numbers and bounds on the Fano factor.