Institutional Repository
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Assembly of gene expression networks based on a breast cancer signature

Chalepakis-Ntellis Dimitrios-Apostolos, Bei Aikaterini, Kafetzopoulos Dimitris, Zervakis Michail

Simple record


URIhttp://purl.tuc.gr/dl/dias/2CD4C8C1-7DEE-4F73-BBE1-E1E186A01B16-
Identifierhttps://link.springer.com/chapter/10.1007%2F978-3-319-56154-7_7-
Identifierhttps://doi.org/10.1007/978-3-319-56154-7_7-
Languageen-
Extent12 pagesen
TitleAssembly of gene expression networks based on a breast cancer signatureen
CreatorChalepakis-Ntellis Dimitrios-Apostolosen
CreatorΧαλεπακης-Ντελλης Δημητριος-Αποστολοςel
CreatorBei Aikaterinien
CreatorΜπεη Αικατερινηel
CreatorKafetzopoulos Dimitrisen
CreatorZervakis Michailen
CreatorΖερβακης Μιχαηλel
PublisherSpringer Verlagen
Content SummaryThe aim of this paper is to provide a snapshot of functional networks with central nodes (hubs) relying on the behavior of genes linked to a specific interaction network. Utilizing a ‘breast cancer signature’, a Bayesian approach is applied for the construction of gene interaction networks from different populations. We demonstrate that the hub genes of the differentiating network between cancer and control states can be regarded as potential markers for breast cancer. Furthermore, the differentiating subnetworks can be informative of the phenotype and provide new knowledge about the functional interactions and molecular pathways involved in breast cancer.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2018-06-08-
Date of Publication2017-
SubjectBayesian networksen
SubjectBreast cancer markersen
SubjectGene expression networksen
SubjectProtein-protein interactionsen
Bibliographic CitationD. A. C. Ntellis, E. S. Bei, D. Kafetzopoulos and M. Zervakis, "Assembly of gene expression networks based on a breast cancer signature," in 5th International Work-Conference on Bioinformatics and Biomedical Engineering, 2017, pp. 62-73. doi: 10.1007/978-3-319-56154-7_7en

Services

Statistics