• DocumentCode
    1500335
  • Title

    Determining the distance to monotonicity of a biological network: a graph-theoretical approach

  • Author

    Iacono, G. ; Ramezani, Fahimeh ; Soranzo, N. ; Altafini, Claudio

  • Author_Institution
    SISSA Int. Sch. for Adv. Studies, Trieste, Italy
  • Volume
    4
  • Issue
    3
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    223
  • Lastpage
    235
  • Abstract
    The authors use ideas from graph theory in order to determine how distant is a given biological network from being monotone. On the signed graph representing the system, the minimal number of sign inconsistencies (i.e. the distance to monotonicity) is shown to be equal to the minimal number of fundamental cycles having a negative sign. Suitable operations aiming at computing such a number are also proposed and shown to outperform all algorithms that are so far existing for this task.
  • Keywords
    biology computing; complex networks; graph theory; biological network; fundamental cycles; graph theory; monotonicity distance; sign inconsistencies;
  • fLanguage
    English
  • Journal_Title
    Systems Biology, IET
  • Publisher
    iet
  • ISSN
    1751-8849
  • Type

    jour

  • DOI
    10.1049/iet-syb.2009.0040
  • Filename
    5470321