Inferencing in 'In Silico' Oncology: Exploiting Expressions, Biomarkers and Clinical Data for Clinical Decision Support

dc.contributor.author	Fotiadis, D.I.,	en
dc.contributor.author	Goletsis, Y.,	en
dc.contributor.author	Exarchos, T.P.,	en
dc.contributor.author	Giannakeas, N.,	en
dc.contributor.author	Rigas, G.	en
dc.date.accessioned	2015-11-24T17:04:27Z
dc.date.available	2015-11-24T17:04:27Z
dc.identifier.uri	https://olympias.lib.uoi.gr/jspui/handle/123456789/11179
dc.rights	Default Licence	-
dc.subject	Gene expressions, genetic networks, genetic sequence pattern analysis, data mining	en
dc.title	Inferencing in 'In Silico' Oncology: Exploiting Expressions, Biomarkers and Clinical Data for Clinical Decision Support	en
heal.abstract	The large number of bioinformatics applications during the recent years offers an abundance of experimental data related to oncology. This leads to the need for efficient algorithms and computational techniques that integrate different types of data (coming from different sources) and derive knowledge out of a the evolving volume of data. In this paper we demonstrate some of our recent research work towards inferencing in In Silico Oncology.	en
heal.access	campus	-
heal.fullTextAvailability	TRUE	-
heal.journalType	peer reviewed	-
heal.language	en	-
heal.recordProvider	Πανεπιστήμιο Ιωαννίνων. Σχολή Οικονομικών και Κοινωνικών Επιστημών. Τμήμα Οικονομικών Επιστημών	el
heal.type	journalArticle	-
heal.type.el	Άρθρο Περιοδικού	el
heal.type.en	Journal article	en

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