Random Boolean network models and the yeast transcriptional network

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

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.

Detaljer

Författare
  • Stuart Kauffman
  • Carsten Peterson
  • Björn Samuelsson
  • Carl Troein
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Zoologi
  • Biofysik

Nyckelord

Originalspråkengelska
Sidor (från-till)14796-14799
TidskriftProceedings of the National Academy of Sciences
Volym100
Utgivningsnummer25
StatusPublished - 2003
PublikationskategoriForskning
Peer review utfördJa

Relaterad forskningsoutput

Samuelsson, B., 2006, Department of Theoretical Physics, Lund University. 117 s.

Forskningsoutput: AvhandlingDoktorsavhandling (sammanläggning)

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