Towards building a dynamic bayesian network for monitoring oral cancer progression using time course gene expression data
| dc.contributor.author | Exarchos, K.P., | en |
| dc.contributor.author | Rigas, G., | en |
| dc.contributor.author | Goletsis, Y., | en |
| dc.contributor.author | Fotiadis, D.I. | en |
| dc.date.accessioned | 2015-11-24T17:04:59Z | |
| dc.date.available | 2015-11-24T17:04:59Z | |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/11251 | |
| dc.rights | Default Licence | - |
| dc.subject | Oral Cancer, Dynamic Bayesian Networks, Cancer Evolution Monitoring | en |
| dc.title | Towards building a dynamic bayesian network for monitoring oral cancer progression using time course gene expression data | en |
| heal.abstract | In this work we present a methodology for modeling and monitoring the evolvement of oral cancer in remittent patients during the post-treatment follow-up period. Our primary aim is to calculate the probability that a patient will develop a relapse but also to identify the approximate timeframe that this relapse is prone to appear. To this end, we start off by analyzing a broad set of time-course gene expression data in order to identify a set of genes that are mostly differentially expressed between patients with and without relapse and are therefore discriminatory and indicative of a disease reoccurrence evolvement. Next, we employ the maintained genes coupled with a patient-specific risk indicator in order to build upon them a Dynamic Bayesian Network (DBN) able to stratify patients based on their probability for a disease reoccurrence, but also pinpoint an approximate timeframe that the relapse might appear. | en |
| heal.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.journalName | IEEE | en |
| heal.journalType | peer reviewed | - |
| heal.language | en | - |
| heal.publicationDate | 2010 | - |
| 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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