Validation of a mathematical model of gene transcription in aggregated cellular systems: application to l1 retrotransposition.
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.
Rempala
Grzegorz A
GA
Department of Mathematics, University of Louisville, Louisville, Kentucky 40292, USA. g.rempala@louisville.edu
Ramos
Kenneth S
KS
Kalbfleisch
Ted
T
Teneng
Ivo
I
D006367:HeLa Cells; D006801:Humans; D020084:Long Interspersed Nucleotide Elements / Q000235:genetics*; D008962:Models, Theoretical; D020133:Reverse Transcriptase Polymerase Chain Reaction; D014158:Transcription, Genetic