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Performance validation of microarray analysis methods

Danilatou Vasiliki, Kafetzopoulos Dimitris, Tsiknakis Manolis, Blazadonakis Michalis E., Zervakis Michail, Banti Anna

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URIhttp://purl.tuc.gr/dl/dias/EE40A3CD-624C-4EEB-9EFA-439827AE4C3B-
Identifierhttps://doi.org/10.1109/BIBE.2008.4696688-
Identifierhttps://ieeexplore.ieee.org/document/4696688/-
Languageen-
Extent6 pagesen
TitlePerformance validation of microarray analysis methods en
CreatorDanilatou Vasilikien
CreatorKafetzopoulos Dimitrisen
CreatorTsiknakis Manolisen
CreatorBlazadonakis Michalis E.en
CreatorZervakis Michailen
CreatorΖερβακης Μιχαηλel
CreatorBanti Annaen
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryFollowing the rapid development of gene selection methods, several comparison studies have been reported for ranking methods on various datasets. In order to reduce bias in performance measures, most studies use an evaluation scheme based on cross-validation. In this paper we focus on the methodology of evaluation itself and address methodological problems using three representative algorithms on two public datasets. More specifically, the paper discusses the need of an independent test-set to reduce bias associated with cross-validation, the use of case specific considerations for generalization, as well as other measures that reflect stability and consistency of the result. Such measures reflect the influence of the actual dataset distribution on the performance of gene selection methods.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-26-
Date of Publication2008-
SubjectPerformance analysisen
SubjectFiltersen
SubjectCanceren
SubjectBiomedical measurementsen
SubjectGenomicsen
SubjectBioinformaticsen
SubjectStabilityen
SubjectHumansen
SubjectSystem testingen
SubjectDecision support systemsen
Bibliographic CitationM. Zervakis, M. E. Blazadonakis, A. Banti, D. Kafetzopoulos, V. Danilatou and M.Tsiknakis, "Performance validation of microarray analysis methods," in 8th IEEE International Conference on BioInformatics and BioEngineering, 2008, pp.1-6. doi: 10.1109/BIBE.2008.4696688en

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