• DocumentCode
    190992
  • Title

    Characterization of probabilistic signaling networks through signal propagation

  • Author

    Gabr, Haitham ; Kahveci, Tamer

  • Author_Institution
    Dept. of Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2014
  • fDate
    2-4 June 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    A large volume of research has been done to uncover different characteristics of biological network, such as large-scale organization, node centrality and network robustness. Nevertheless, the vast majority of research done in this area assume that biological networks have deterministic topologies. Biological interactions are however probabilistic events that may or may not appear at different cells or even in the same cell at different times. In this paper, we present results for characterizing H. sapiens probabilistic signaling networks using signal reachability, with respect to (i) centrality of nodes, (ii) stability of the network, and (iii) important network functions.
  • Keywords
    cellular biophysics; microorganisms; molecular biophysics; probability; H. sapiens probabilistic signaling network characterization; biological interactions; biological network characteristics; cells; deterministic topologies; Bioinformatics; Network topology; Probabilistic logic; Proteins; Stability analysis; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Bio and Medical Sciences (ICCABS), 2014 IEEE 4th International Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4799-5786-6
  • Type

    conf

  • DOI
    10.1109/ICCABS.2014.6863909
  • Filename
    6863909