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Outcome prediction based on microarray analysis: a critical perspective on methods

Zervakis Michalis, Michalis E Blazadonakis, Vasiliki Danilatou, Dimitris Kafetzopoulos, Manolis Tsiknakis

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URIhttp://purl.tuc.gr/dl/dias/4197ADD3-3FF0-4EFB-BDE9-081C09CC971A-
Identifierhttps://doi.org/10.1186/1471-2105-10-53-
Languageen-
Extent1 pageen
TitleOutcome prediction based on microarray analysis: a critical perspective on methodsen
CreatorZervakis Michalisen
CreatorΖερβακης Μιχαληςel
CreatorMichalis E Blazadonakisen
CreatorVasiliki Danilatouen
CreatorDimitris Kafetzopoulosen
CreatorManolis Tsiknakisen
Content SummaryInformation 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
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-23-
Date of Publication2009-
Bibliographic CitationM. 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:10.1186/1471-2105-10-53en

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