Interpretable and tractable models of transcriptional noise for the rational design of single-molecule quantification experiments
The question of how cell-to-cell differences in transcription rate affect RNA count
distributions is fundamental for understanding biological processes underlying transcription …
distributions is fundamental for understanding biological processes underlying transcription …
Solving the chemical master equation for monomolecular reaction systems and beyond: a Doi-Peliti path integral view
JJ Vastola - Journal of Mathematical Biology, 2021 - Springer
The chemical master equation (CME) is a fundamental description of interacting molecules
commonly used to model chemical kinetics and noisy gene regulatory networks. Exact time …
commonly used to model chemical kinetics and noisy gene regulatory networks. Exact time …
Identification of gene regulation models from single-cell data
In quantitative analyses of biological processes, one may use many different scales of
models (eg spatial or non-spatial, deterministic or stochastic, time-varying or at steady-state) …
models (eg spatial or non-spatial, deterministic or stochastic, time-varying or at steady-state) …
[PDF][PDF] Significance Statement
G Gorina, JJ Vastolab, M Fangc, L Pachterc - authors.library.caltech.edu
The interpretation of transcriptomic observations requires detailed models of biophysical
noise that can be compared and fit to experimental data. Models of intrinsic noise …
noise that can be compared and fit to experimental data. Models of intrinsic noise …
[PDF][PDF] Identification of causal mechanisms of cell variability in signaling networks from single-cell time series snapshots
A Klimovskaia - 2019 - research-collection.ethz.ch
Molecular systems biology constitutes a holistic approach towards understanding
mechanisms of the cell functioning. Cell signaling is one of the examples of self regulation …
mechanisms of the cell functioning. Cell signaling is one of the examples of self regulation …