A stochastic model of gene transcription: an application to L1 retrotransposition events. Academic Article

abstract

• A simplified mathematical model of gene transcription is presented based on a system of coupled chemical reactions and a corresponding set of stochastic equations similar to those used in enzyme kinetics theory. The quasi-stationary distribution for the model is derived and its usefulness illustrated with an example of model parameters estimation using sparse time course data on L1 retrotransposon expression kinetics. The issue of model validation is also discussed and a simple validation procedure for the estimated model is devised. The procedure compares model predicted values with the laboratory data via the standard Bayesian techniques with the help of modern Markov-Chain Monte-Carlo methodology.

authors

• Ramos, Kenneth

published proceedings

• J Theor Biol

altmetric score

• 3

author list (cited authors)

• Rempala, G. A., Ramos, K. S., & Kalbfleisch, T.

citation count

• 20

complete list of authors

• Rempala, Grzegorz A||Ramos, Kenneth S||Kalbfleisch, Ted

publication date

• September 2006

publisher

• Elsevier  Publisher

published in

• Journal of Theoretical Biology  Journal

keywords

• Animals
• Bayes Theorem
• Markov Chains
• Models, Genetic
• Models, Statistical
• Reproducibility Of Results
• Retroelements
• Transcription, Genetic

PubMed Central ID

• 16624324

Digital Object Identifier (DOI)

• 10.1016/j.jtbi.2006.02.010

start page

• 101

end page

• 116

volume

• 242

issue

• 1

URL

• http://dx.doi.org/10.1016/j.jtbi.2006.02.010