Validation of a mathematical model of gene transcription in aggregated cellular systems: application to l1 retrotransposition. Academic Article

abstract

• We present a methodology aimed at partial validation and accuracy-precision assessment of a mathematical model of gene transcription at the cellular level. The method is based on the analysis of time-series measurements aggregated over a large number of cells. Such measurements are typically obtained via reverse transcriptase-polymerase chain reaction (RT-PCR) experiments. The validation procedure presented herein uses as an example data on L1 retrotransposon gene in HeLa cells. The procedure compares model predicted values with the RT-PCR data for L1 by means of the standard Bayesian statistical techniques with the help of modern Markov-Chain Monte-Carlo methodology.

authors

• Ramos, Kenneth

published proceedings

• J Comput Biol

author list (cited authors)

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

citation count

• 12

complete list of authors

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

publication date

• April 2007

publisher

• Mary Ann Liebert  Publisher

published in

• Journal of Computational Biology  Journal

keywords

• Hela Cells
• Humans
• Long Interspersed Nucleotide Elements
• Models, Theoretical
• Reverse Transcriptase Polymerase Chain Reaction
• Transcription, Genetic

PubMed Central ID

• 17563315

Digital Object Identifier (DOI)

• 10.1089/cmb.2006.0125

start page

• 339

end page

• 349

volume

• 14

issue

• 3

URL

• http://dx.doi.org/10.1089/cmb.2006.0125