Literature DB >> 19407355

Multimodal networks: structure and operations.

Lenwood S Heath1, Allan A Sioson.   

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.

Mesh:

Year:  2009        PMID: 19407355     DOI: 10.1109/TCBB.2007.70243

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  5 in total

1.  Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective.

Authors:  Chen Chen; Hanghang Tong; Lei Xie; Lei Ying; Qing He
Journal:  ACM Trans Knowl Discov Data       Date:  2017-08       Impact factor: 2.713

2.  Rational Design and Methods of Analysis for the Study of Short- and Long-Term Dynamic Responses of Eukaryotic Systems.

Authors:  Duygu Dikicioglu
Journal:  Methods Mol Biol       Date:  2019

3.  Towards Optimal Connectivity on Multi-layered Networks.

Authors:  Chen Chen; Jingrui He; Nadya Bliss; Hanghang Tong
Journal:  IEEE Trans Knowl Data Eng       Date:  2017-06-23       Impact factor: 6.977

4.  Marine conservation: towards a multi-layered network approach.

Authors:  Ute Jacob; Andrew Beckerman; Mira Antonijevic; Laura E Dee; Anna Eklöf; Hugh P Possingham; Ross Thompson; Thomas J Webb; Benjamin S Halpern
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-11-02       Impact factor: 6.237

5.  A Workflow of Integrated Resources to Catalyze Network Pharmacology Driven COVID-19 Research.

Authors:  Gergely Zahoránszky-Kőhalmi; Vishal B Siramshetty; Praveen Kumar; Manideep Gurumurthy; Busola Grillo; Biju Mathew; Dimitrios Metaxatos; Mark Backus; Tim Mierzwa; Reid Simon; Ivan Grishagin; Laura Brovold; Ewy A Mathé; Matthew D Hall; Samuel G Michael; Alexander G Godfrey; Jordi Mestres; Lars J Jensen; Tudor I Oprea
Journal:  bioRxiv       Date:  2020-11-05
  5 in total

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