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Integration of biological knowledge in the mixture-of-Gaussians analysis of genomic clustering

Dimitris Kafetzopoulos, Zervakis Michalis, Manolis Tsiknakis, Stelios Sfakianakis

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URIhttp://purl.tuc.gr/dl/dias/262ED0F3-5B3A-44DA-B770-9B71FCD0F513-
Identifierhttps://doi.org/10.1109/ITAB.2010.5687658-
Languageen-
Extent4 pagesen
TitleIntegration of biological knowledge in the mixture-of-Gaussians analysis of genomic clusteringen
CreatorDimitris Kafetzopoulosen
CreatorZervakis Michalisen
CreatorΖερβακης Μιχαληςel
Creator Manolis Tsiknakisen
CreatorStelios Sfakianakisen
PublisherIEEEen
Content SummaryThe analysis of biological data produced by state of the art high throughput technologies like DNA microarrays presents many challenges due both to the domain itself (e.g. high dimensionality) and the technologies themselves (e.g. noisy data). In this paper we advocate the exploitation of existing biological knowledge in order to guide the cluster analysis of gene expression data. To this end we present a biologically inspired probabilistic model and a modified Expectation-Maximization algorithm for the estimation of its parameters. Finally we perform some initial evaluation of the clustering results of the proposed model.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-25-
Date of Publication2010-
Bibliographic CitationS. Sfakianakis, M. Zervakis, M. Tsiknakis, D. Kafetzopoulos , "Integration of biological knowledge in the mixture-of-Gaussians analysis of genomic clustering ,"in 2010 10th IEEE Intern.l Conf. on Information Tech. and Applications in Biom. (ITAB) ,pp.1-4.doi:10.1109/ITAB.2010.5687658en

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