dc.creatorRangel,Carlos R.
dc.creatorAltamiranda,Junior
dc.creatorAguilar,Jose
dc.date2016-08-01
dc.date.accessioned2023-09-25T18:36:00Z
dc.date.available2023-09-25T18:36:00Z
dc.identifierhttp://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002016000200007
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8838833
dc.descriptionIn this paper we use concepts from graph theory and cellular biology represented as ontologies, to carry out semantic mining tasks on signaling pathway networks. Specifically, the paper describes the semantic enrichment of signaling pathway networks. A cell signaling network describes the basic cellular activities and their interactions. The main contribution of this paper is in the signaling pathway research area, it proposes a new technique to analyze and understand how changes in these networks may affect the transmission and flow of information, which produce diseases such as cancer and diabetes. Our approach is based on three concepts from graph theory (modularity, clustering and centrality) frequently used on social networks analysis. Our approach consists into two phases: the first uses the graph theory concepts to determine the cellular groups in the network, which we will call them communities; the second uses ontologies for the semantic enrichment of the cellular communities. The measures used from the graph theory allow us to determine the set of cells that are close (for example, in a disease), and the main cells in each community. We analyze our approach in two cases: TGF-β and the Alzheimer Disease.
dc.formattext/html
dc.languageen
dc.publisherCentro Latinoamericano de Estudios en Informática
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceCLEI Electronic Journal v.19 n.2 2016
dc.subjectBioinformatics
dc.subjectsemantic mining
dc.subjectclustering
dc.subjectsemantic enrichment
dc.subjectTGF-β
dc.subjectAlzheimer disease
dc.titleSemantic Mining based on graph theory and ontologies. Case Study: Cell Signaling Pathways
dc.typeinfo:eu-repo/semantics/article


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