DocumentCode :
952257
Title :
Semantics of Multimodal Network Models
Author :
Heath, Lenwood S. ; Sioson, Allan A.
Author_Institution :
Dept. of Comput. Sci., Virginia Tech, Blacksburg, VA
Volume :
6
Issue :
2
fYear :
2009
Firstpage :
271
Lastpage :
280
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 semantics of each modal hyperedge e is given through denotational semantics, where a valuation function f_{e} defines the relationship among the values of the vertices incident on e. The meaning of an MMN is denoted in terms of the semantics of a hyperedge sequence. A companion paper defines MMNs and concentrates on the structural aspects of MMNs. This paper develops MMN denotational semantics when used as a representation of the semantics of biological networks and discusses applications of MMNs in managing complex biological data.
Keywords :
biology computing; graph theory; programming language semantics; biological database; biological networks; denotational semantics; graph theory; multimodal network models; Denotational semantics; Graph Theory; Graph labeling; Life and Medical Sciences; Multimodal network; Simulation; and Visualization; biological model; biological networks; biot; denotational semantics.; graph; hypergraph; mode; modeling; Algorithms; Apoptosis; Biological Phenomena; Computational Biology; Computer Simulation; Databases, Factual; Gene Regulatory Networks; Glycolysis; Heat-Shock Proteins; Metabolic Networks and Pathways; Models, Biological; Programming Languages;
fLanguage :
English
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1545-5963
Type :
jour
DOI :
10.1109/TCBB.2007.70242
Filename :
4359891
Link To Document :
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