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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

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/262ED0F3-5B3A-44DA-B770-9B71FCD0F513-
Αναγνωριστικόhttps://doi.org/10.1109/ITAB.2010.5687658-
Γλώσσαen-
Μέγεθος4 pagesen
ΤίτλοςIntegration of biological knowledge in the mixture-of-Gaussians analysis of genomic clusteringen
ΔημιουργόςDimitris Kafetzopoulosen
ΔημιουργόςZervakis Michalisen
ΔημιουργόςΖερβακης Μιχαληςel
Δημιουργός Manolis Tsiknakisen
ΔημιουργόςStelios Sfakianakisen
ΕκδότηςIEEEen
ΠερίληψηThe 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
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-25-
Ημερομηνία Δημοσίευσης2010-
Βιβλιογραφική ΑναφοράS. 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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