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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

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/4197ADD3-3FF0-4EFB-BDE9-081C09CC971A
Έτος 2009
Τύπος Δημοσίευση σε Περιοδικό με Κριτές
Άδεια Χρήσης
Λεπτομέρειες
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 https://doi.org/10.1186/1471-2105-10-53
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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.

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