Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/2CD4C8C1-7DEE-4F73-BBE1-E1E186A01B16 | - |
| Identifier | https://link.springer.com/chapter/10.1007%2F978-3-319-56154-7_7 | - |
| Identifier | https://doi.org/10.1007/978-3-319-56154-7_7 | - |
| Language | en | - |
| Extent | 12 pages | en |
| Title | Assembly of gene expression networks based on a breast cancer signature | en |
| Creator | Chalepakis-Ntellis Dimitrios-Apostolos | en |
| Creator | Χαλεπακης-Ντελλης Δημητριος-Αποστολος | el |
| Creator | Bei Aikaterini | en |
| Creator | Μπεη Αικατερινη | el |
| Creator | Kafetzopoulos Dimitris | en |
| Creator | Zervakis Michail | en |
| Creator | Ζερβακης Μιχαηλ | el |
| Publisher | Springer Verlag | en |
| Content Summary | The 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 Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2018-06-08 | - |
| Date of Publication | 2017 | - |
| Subject | Bayesian networks | en |
| Subject | Breast cancer markers | en |
| Subject | Gene expression networks | en |
| Subject | Protein-protein interactions | en |
| Bibliographic Citation | D. 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_7 | en |
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