Name
Abstract | ||
|---|---|---|
Modelling frameworks for biological networks are used to reason on the models and their properties. One of the main problems with such modelling frameworks is to determine the dynamics of gene regulatory networks (GRN). Recently, it has been observed in in vivo experiments and in genomic and transcriptomic studies, that spatial information are useful to better understand both the mechanisms and the dynamics of GRN. In this paper we propose to extend the modelling framework of R. Thomas in order to introduce such spatial information between genes, and we will show how these further informations allow us to restrict the number of dynamics to consider. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-00727-9_26 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
biological network,transcriptomic study,vivo experiment,gene regulatory network,spatial information,boolean genetic regulatory networks,main problem,modelling framework | Spatial analysis,Biological network,Computer science,Artificial intelligence,Bioinformatics,Gene regulatory network,Machine learning | Conference |
Volume | ISSN | Citations |
5462 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 2 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthieu Manceny | 1 | 7 | 3.55 |
| Marc Aiguier | 2 | 98 | 14.95 |
| Pascale Gall | 3 | 13 | 2.08 |
| Joan Hérisson | 4 | 37 | 6.62 |
| Ivan Junier | 5 | 11 | 1.72 |
| François Képès | 6 | 47 | 8.97 |