
Carsten Peterson
Expert

Random Boolean network models and the yeast transcriptional network
Författare
Summary, in English
The recently measured yeast transcriptional network is analyzed in terms of simplified Boolean network models, with the aim of determining feasible rule structures, given the requirement of stable solutions of the generated Boolean networks. We find that, for ensembles of generated models, those with canalyzing Boolean rules are remarkably stable, whereas those with random Boolean rules are only marginally stable. Furthermore, substantial parts of the generated networks are frozen, in the sense that they reach the same state, regardless of initial state. Thus, our ensemble approach suggests that the yeast network shows highly ordered dynamics.
Avdelning/ar
- Computational Biology and Biological Physics - Has been reorganised
- Functional zoology
Publiceringsår
2003
Språk
Engelska
Sidor
14796-14799
Publikation/Tidskrift/Serie
Proceedings of the National Academy of Sciences
Volym
100
Issue
25
Länkar
Dokumenttyp
Artikel i tidskrift
Förlag
National Academy of Sciences
Ämne
- Zoology
- Biophysics
Nyckelord
- genetic networks
- dynamical systems
Aktiv
Published
ISBN/ISSN/Övrigt
- ISSN: 1091-6490