Name
Abstract | ||
|---|---|---|
Mathematical and computational modelling of biochemical systems has seen a lot of effort devoted to the definition and implementation of high-performance mechanistic simulation frameworks. Within these frameworks it is possible to analyse complex models under a variety of configurations, eventually selecting the best setting of, e.g., parameters for a target system. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1186/1471-2105-16-S9-S8 | BMC Bioinformatics |
Keywords | Field | DocType |
time-series analysis, stochastic models, Python | Time series,Computer science,Stochastic process,Automation,Software,Stochastic modelling,Bioinformatics,Python (programming language) | Journal |
Volume | Issue | ISSN |
16 | S-9 | 1471-2105 |
Citations | PageRank | References |
1 | 0.36 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giulio Caravagna | 1 | 156 | 16.46 |
| luca de sano | 2 | 3 | 1.07 |
| Marco Antoniotti | 3 | 102 | 18.50 |