Name
Abstract | ||
|---|---|---|
BackgroundQualitative dynamics semantics provide a coarse-grain modeling of networks dynamics by abstracting away kinetic parameters. They allow to capture general features of systems dynamics, such as attractors or reachability properties, for which scalable analyses exist. The Systems Biology Graphical Notation Process Description language (SBGN-PD) has become a standard to represent reaction networks. However, no qualitative dynamics semantics taking into account all the main features available in SBGN-PD had been proposed so far. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s12918-016-0285-0 | BMC Systems Biology |
Keywords | Field | DocType |
Modeling of dynamics, Reaction networks, SBGN-PD, Qualitative dynamics, Automata networks | Attractor,Computer science,Systems biology,Theoretical computer science,Reachability,System dynamics,Systems Biology Graphical Notation,Bioinformatics,Computer graphics,Semantics,Scalability | Journal |
Volume | Issue | ISSN |
10 | 1 | 1752-0509 |
Citations | PageRank | References |
1 | 0.37 | 30 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adrien Rougny | 1 | 2 | 2.16 |
| Christine Froidevaux | 2 | 2 | 1.14 |
| Laurence Calzone | 3 | 1 | 0.37 |
| Loïc Paulevé | 4 | 204 | 18.68 |