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Correlation-based biological networks

Song, Won-Min; Aste, Tomaso; Di Matteo, Tiziana

Description

We construct a correlation-based biological network from a data set containing temporal expressions of 517 fibroblast tissue genes at transcription level. Four relevant and meaningful connected subgraphs of the network, namely: minimal spanning tree, maximal spanning tree, combined graph of minimal and maximal trees, and planar maximally filtered graph are extracted and the subgraphs' geometrical and topological properties are explored by computing relevant statistical quantities at local and...[Show more]

dc.contributor.authorSong, Won-Min
dc.contributor.authorAste, Tomaso
dc.contributor.authorDi Matteo, Tiziana
dc.coverage.spatialCanberra Australia
dc.date.accessioned2015-12-10T22:14:55Z
dc.date.createdJanuary 2008
dc.identifier.isbn0277-786X
dc.identifier.urihttp://hdl.handle.net/1885/50377
dc.description.abstractWe construct a correlation-based biological network from a data set containing temporal expressions of 517 fibroblast tissue genes at transcription level. Four relevant and meaningful connected subgraphs of the network, namely: minimal spanning tree, maximal spanning tree, combined graph of minimal and maximal trees, and planar maximally filtered graph are extracted and the subgraphs' geometrical and topological properties are explored by computing relevant statistical quantities at local and global level. The results show that the subgraphs are extracting relevant information from the data set by retaining high correlation coefficients. The design principle of the underlying biological functions is reflected in the topology of the graphs.
dc.publisherSPIE - The International Society for Optical Engineering
dc.relation.ispartofseriesAsia-Pacific Complex Systems Conference (Complex 2008)
dc.sourceComplex Systems II (Proceedings of SPIE Vol. 6802 )
dc.subjectKeywords: Correlation methods; Fibroblasts; Topology; Transcription; Trees (mathematics); Biological networks; Fibroblast tissue genes; Maximal spanning tree; Biological systems
dc.titleCorrelation-based biological networks
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2008
local.identifier.absfor020406 - Surfaces and Structural Properties of Condensed Matter
local.identifier.ariespublicationu9210271xPUB202
local.type.statusPublished Version
local.contributor.affiliationSong, Won-Min, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationAste, Tomaso, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationDi Matteo, Tiziana, College of Physical and Mathematical Sciences, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage11
local.identifier.doi10.1117/12.759252
dc.date.updated2015-12-09T08:11:15Z
local.identifier.scopusID2-s2.0-41149123357
CollectionsANU Research Publications

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