Back to Search
Start Over
Validation of a Mathematical Model of Gene Transcription in Aggregated Cellular Systems: Application to L1 Retrotransposition
- Source :
- Journal of Computational Biology. 14:339-349
- Publication Year :
- 2007
- Publisher :
- Mary Ann Liebert Inc, 2007.
-
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.
- Subjects :
- Genetics
Transcription, Genetic
Reverse Transcriptase Polymerase Chain Reaction
Bayesian probability
Retrotransposon
Computational biology
Models, Theoretical
Biology
Cellular level
Model validation
Partial validation
Computational Mathematics
Long Interspersed Nucleotide Elements
Real-time polymerase chain reaction
Computational Theory and Mathematics
Modeling and Simulation
Humans
Molecular Biology
Gene
HeLa Cells
Subjects
Details
- ISSN :
- 15578666 and 10665277
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Journal of Computational Biology
- Accession number :
- edsair.doi.dedup.....822c27e89648309c5bf75502c6b5753d