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https://olympias.lib.uoi.gr/jspui/handle/123456789/11179Full metadata record
| DC Field | Value | Language |
|---|---|---|
| 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.type | journalArticle | - |
| heal.type.en | Journal article | en |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.language | en | - |
| heal.access | campus | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Οικονομικών και Κοινωνικών Επιστημών. Τμήμα Οικονομικών Επιστημών | el |
| 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.journalType | peer reviewed | - |
| heal.fullTextAvailability | TRUE | - |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΟΕ | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Goletsis-inferencing in in.pdf | 134.3 kB | Adobe PDF | View/Open Request a copy |
This item is licensed under a Creative Commons License
