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Searching for significant genes in cancer metastasis by tissue comparisons

Zervakis Michalis, Stelios Sfakianakis, Dimitris Kafetzopoulos, Dimitra Iliopoulou, Stelios Sfakianakis, Ekaterini S. Bei

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URIhttp://purl.tuc.gr/dl/dias/A98D4390-D293-4671-A62D-2A5BB18BFB18-
Identifierhttps://doi.org/10.1007/978-3-319-11128-5_148-
Languageen-
Extent4 pagesen
TitleSearching for significant genes in cancer metastasis by tissue comparisons en
CreatorZervakis Michalisen
CreatorΖερβακης Μιχαληςel
CreatorStelios Sfakianakisen
Creator Dimitris Kafetzopoulosen
CreatorDimitra Iliopoulouen
CreatorStelios Sfakianakisen
CreatorEkaterini S. Beien
PublisherSpringer Verlagen
Content SummaryDNA Microarrays allow scientists to simultaneously measure the expression levels of thousands of genes. However, an important need arises as to identify those genes closely associated with a particular state of interest, such as cancer, in order to discover useful biological information and efficiently classify new samples. The identification of marker genes is often based on the differential expression of groups of genes and/or their predictive potential manifested in classification experiments. Important aspects that need to be verified on both biological and statistical grounds are the actual problem considered and the algorithmic method selected. In this paper we consider the question of gene differentiation in cancer and how it can be explored through blood sample analysis. We study two algorithmic approaches based on support and relevance vector machines. The results indicate that the latter concept performs better in the specific biological environment, extracting meaningful biological concepts.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 Publication2012-
SubjectAdducts, DNAen
Subjectdna adductsen
Subjectadducts dnaen
SubjectBiomedical scientistsen
SubjectHealth scientistsen
Subjectmedical scientistsen
Subjectbiomedical scientistsen
Subjecthealth scientistsen
Bibliographic CitationN.K. Chlis, S.Sfakianakis, E.S. Bei, D. Iliopoulou, D. Kafetzopoulos, M. Zervakis ," Searching for significant genes in cancer metastasis by tissue comparison,"in 2015 6th Europ. Conf. of the Intern. Federation for Medical and Biol. Engineering ,pp.594-597.doi:10.1007/978-3-319-11128-5_148en

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