• DocumentCode
    952267
  • Title

    Multimodal Networks: Structure and Operations

  • Author

    Heath, Lenwood S. ; Sioson, Allan A.

  • Author_Institution
    Dept. of Comput. Sci., Virginia Tech, Blacksburg, VA
  • Volume
    6
  • Issue
    2
  • fYear
    2009
  • Firstpage
    321
  • Lastpage
    332
  • Abstract
    A multimodal network (MMN) is a novel graph-theoretic formalism designed to capture the structure of biological networks and to represent relationships derived from multiple biological databases. MMNs generalize the standard notions of graphs and hypergraphs, which are the bases of current diagrammatic representations of biological phenomena and incorporate the concept of mode. Each vertex of an MMN is a biological entity, a biot, while each modal hyperedge is a typed relationship, where the type is given by the mode of the hyperedge. The current paper defines MMNs and concentrates on the structural aspects of MMNs. A companion paper develops MMNs as a representation of the semantics of biological networks and discusses applications of the MMNs in managing complex biological data. The MMN model has been implemented in a database system containing multiple kinds of biological networks.
  • Keywords
    biology computing; complex networks; graph theory; semantic networks; biological networks; biot; graph-theoretic formalism; hyperedge mode; hypergraphs; multimodal network; multiple biological databases; semantics; Data models; Database models; Graph Theory; Life and Medical Sciences; Multimodal network; Representations; biological networks; biot.; graph; hypergraph; mode; Algorithms; Animals; Computational Biology; Database Management Systems; Databases, Genetic; Gene Regulatory Networks; Metabolic Networks and Pathways; Models, Biological; Programming Languages; Signal Transduction;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2007.70243
  • Filename
    4359892