Abstract | ||
---|---|---|
Mechanistic models that describe the dynamical behaviors of biochemical systems are common in computational systems biology, especially in the realm of cellular signaling. The development of families of such models, either by a single research group or by different groups working within the same area, presents significant challenges that range from identifying structural similarities and differences between models to understanding how these differences affect system dynamics. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1186/1471-2105-15-316 | BMC Bioinformatics |
Keywords | Field | DocType |
microarrays,bioinformatics,algorithms | Rule-based modeling,Visual computing,Rule-based system,Computer science,Systems biology,System dynamics,Modelling biological systems,Bioinformatics,Computational biology | Journal |
Volume | Issue | ISSN |
15 | 1 | 1471-2105 |
Citations | PageRank | References |
8 | 0.45 | 25 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
John E. Wenskovitch | 1 | 46 | 7.33 |
Leonard A. Harris | 2 | 95 | 5.65 |
José Juan Tapia | 3 | 8 | 0.45 |
James R Faeder | 4 | 409 | 31.02 |
G Elisabeta Marai | 5 | 136 | 20.43 |