| Title |
Multiscale stochastic modelling of gene expression
|
|---|---|
| Published in |
Journal of Mathematical Biology, October 2011
|
| DOI | 10.1007/s00285-011-0468-7 |
| Pubmed ID | |
| Authors |
Pavol Bokes, John R. King, Andrew T. A. Wood, Matthew Loose |
| Abstract |
Stochastic phenomena in gene regulatory networks can be modelled by the chemical master equation for gene products such as mRNA and proteins. If some of these elements are present in significantly higher amounts than the rest, or if some of the reactions between these elements are substantially faster than others, it is often possible to reduce the master equation to a simpler problem using asymptotic methods. We present examples of such a procedure and analyse the relationship between the reduced models and the original. |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| France | 1 | 4% |
| Unknown | 23 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 28% |
| Student > Ph. D. Student | 6 | 24% |
| Professor > Associate Professor | 4 | 16% |
| Student > Doctoral Student | 3 | 12% |
| Student > Master | 3 | 12% |
| Other | 1 | 4% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 9 | 36% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Agricultural and Biological Sciences | 3 | 12% |
| Physics and Astronomy | 3 | 12% |
| Computer Science | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 2 | 8% |