Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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| URI | http://purl.tuc.gr/dl/dias/4197ADD3-3FF0-4EFB-BDE9-081C09CC971A | - |
| Αναγνωριστικό | https://doi.org/10.1186/1471-2105-10-53 | - |
| Γλώσσα | en | - |
| Μέγεθος | 1 page | en |
| Τίτλος | Outcome prediction based on microarray analysis: a critical perspective on methods | en |
| Δημιουργός | Zervakis Michalis | en |
| Δημιουργός | Ζερβακης Μιχαλης | el |
| Δημιουργός | Michalis E Blazadonakis | en |
| Δημιουργός | Vasiliki Danilatou | en |
| Δημιουργός | Dimitris Kafetzopoulos | en |
| Δημιουργός | Manolis Tsiknakis | en |
| Περίληψη | Information extraction from microarrays has not yet been widely used in diagnostic or prognostic decision-support systems, due to the diversity of results produced by the available techniques, their instability on different data sets and the inability to relate statistical significance with biological relevance. Thus, there is an urgent need to address the statistical framework of microarray analysis and identify its drawbacks and limitations, which will enable us to thoroughly compare methodologies under the same experimental set-up and associate results with confidence intervals meaningful to clinicians. In this study we consider gene-selection algorithms with the aim to reveal inefficiencies in performance evaluation and address aspects that can reduce uncertainty in algorithmic validation. | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-10-23 | - |
| Ημερομηνία Δημοσίευσης | 2009 | - |
| Βιβλιογραφική Αναφορά | M. Zervakis ,M. E. Blazadonakis, G. Tsiliki, V. Danilatou, M.Tsiknakis , D. Kafetzopoulos,"Outcome prediction based on microarray analysis: a critical perspective on methods,"BMC Bioinf. ,vol.10,no.1 ,pp.53-53 , 2009.doi:10.1186/1471-2105-10-53 | en |
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