Εμφάνιση απλής εγγραφής

dc.creatorKontou P.I., Pavlopoulou A., Dimou N.L., Pavlopoulos G.A., Bagos P.G.en
dc.date.accessioned2023-01-31T08:44:11Z
dc.date.available2023-01-31T08:44:11Z
dc.date.issued2016
dc.identifier10.1016/j.dib.2016.07.022
dc.identifier.issn23523409
dc.identifier.urihttp://hdl.handle.net/11615/75107
dc.description.abstractThe network-based approaches that were employed in order to depict the relationships between human genetic diseases and their associated genes are described. Towards this direction, monopartite disease-disease and gene-gene networks were constructed from bipartite gene-disease association networks. The latter were created by collecting and integrating data from three diverse resources, each one with different content, covering from rare monogenic disorders to common complex diseases. Moreover, topological and clustering graph analyses were performed. The methodology and the programs presented in this article are related to the research article entitled “Network analysis of genes and their association with diseases” [1]. © 2016 The Authorsen
dc.language.isoenen
dc.sourceData in Briefen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85044264922&doi=10.1016%2fj.dib.2016.07.022&partnerID=40&md5=cf0e785181f2f0099e216b3081694a4c
dc.subjectTopologyen
dc.subjectClusteringsen
dc.subjectComplex diseaseen
dc.subjectDisease-disease networken
dc.subjectGene-disease associationsen
dc.subjectGene-gene networksen
dc.subjectGraph analysisen
dc.subjectHuman genetic diseaseen
dc.subjectNetwork-based approachen
dc.subjectGenesen
dc.subjectElsevier Inc.en
dc.titleData and programs in support of network analysis of genes and their association with diseasesen
dc.typeotheren


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