Time-dependent propagators for stochastic models of gene expression: an analytical method
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Time-dependent propagators for stochastic models of gene expression: an analytical method
Authors
Keywords
Stochastic gene expression, Probability generating function, Propagator, Dynamical systems, Perturbation techniques, Asymptotic analysis, 34E05, 35C20, 35F40, 37N25, 60J25, 92C40
Journal
JOURNAL OF MATHEMATICAL BIOLOGY
Volume 77, Issue 2, Pages 261-312
Publisher
Springer Nature
Online
2017-12-15
DOI
10.1007/s00285-017-1196-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Analysis of Cell Lineage Trees by Exact Bayesian Inference Identifies Negative Autoregulation of Nanog in Mouse Embryonic Stem Cells
- (2016) Justin Feigelman et al. Cell Systems
- A geometric analysis of fast-slow models for stochastic gene expression
- (2015) Nikola Popović et al. JOURNAL OF MATHEMATICAL BIOLOGY
- Mixed Poisson distributions in exact solutions of stochastic autoregulation models
- (2014) Srividya Iyer-Biswas et al. PHYSICAL REVIEW E
- Probing cellular processes by long-term live imaging - historic problems and current solutions
- (2013) D. L. Coutu et al. JOURNAL OF CELL SCIENCE
- Insights into the regulation of protein abundance from proteomic and transcriptomic analyses
- (2012) Christine Vogel et al. NATURE REVIEWS GENETICS
- Multiscale stochastic modelling of gene expression
- (2011) Pavol Bokes et al. JOURNAL OF MATHEMATICAL BIOLOGY
- Exact and approximate distributions of protein and mRNA levels in the low-copy regime of gene expression
- (2011) Pavol Bokes et al. JOURNAL OF MATHEMATICAL BIOLOGY
- Global quantification of mammalian gene expression control
- (2011) Björn Schwanhäusser et al. NATURE
- Measuring single-cell gene expression dynamics in bacteria using fluorescence time-lapse microscopy
- (2011) Jonathan W Young et al. Nature Protocols
- Exact time-dependent solutions for a self-regulating gene
- (2011) A. F. Ramos et al. PHYSICAL REVIEW E
- Real-Time Observation of Transcription Initiation and Elongation on an Endogenous Yeast Gene
- (2011) D. R. Larson et al. SCIENCE
- Accuracy and Stability of Computing High-order Derivatives of Analytic Functions by Cauchy Integrals
- (2010) Folkmar Bornemann FOUNDATIONS OF COMPUTATIONAL MATHEMATICS
- Quantitative Time-Lapse Fluorescence Microscopy in Single Cells
- (2009) Dale Muzzey et al. Annual Review of Cell and Developmental Biology
- Stochastic modelling for quantitative description of heterogeneous biological systems
- (2009) Darren J. Wilkinson NATURE REVIEWS GENETICS
- Stochasticity of gene products from transcriptional pulsing
- (2009) Srividya Iyer-Biswas et al. PHYSICAL REVIEW E
- Nature, Nurture, or Chance: Stochastic Gene Expression and Its Consequences
- (2008) Arjun Raj et al. CELL
- The stochastic nature of biochemical networks
- (2008) Vahid Shahrezaei et al. CURRENT OPINION IN BIOTECHNOLOGY
- Modelling and analysis of gene regulatory networks
- (2008) Guy Karlebach et al. NATURE REVIEWS MOLECULAR CELL BIOLOGY
- Analytical distributions for stochastic gene expression
- (2008) V. Shahrezaei et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now