Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/168B9611-2A97-458B-ABFE-80D417FE7C2E | - |
| Identifier | https://doi.org/10.1109/TITB.2010.2072964 | - |
| Language | en | - |
| Extent | 9 pages | en |
| Title | Complementary gene signature integration in multiplatform microarray experiments | en |
| Creator | Zervakis Michalis | en |
| Creator | Ζερβακης Μιχαλης | el |
| Creator | D. Kafetzopoulos | en |
| Creator | M.E. Blazadonakis | en |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | The concept of gene signature overlap has been addressed previously in a number of research papers. A common conclusion is the absence of significant overlap. In this paper, we verify the aforementioned fact, but we also assess the issue of similarities not on the gene level, but on the biology level hidden underneath a given signature. We proceed by taking into account the biological knowledge that exists among different signatures, and use it as a means of integrating them and refining their statistical significance on the datasets. In this form, by integrating biological knowledge with information stemming from data distributions, we derive a unified signature that is significantly improved over its predecessors in terms of performance and robustness. Our motive behind this approach is to assess the problem of evaluating different signatures not in a competitive but rather in a complementary manner, where one is treated as a pool of knowledge contributing to a global and unified solution. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-24 | - |
| Date of Publication | 2010 | - |
| Subject | Biomedicine | en |
| Bibliographic Citation | M.E. Blazadonakis, M.E. Zervakis, D. Kafetzopoulos ,"Complementary gene signature integration in multiplatform microarray experiments ,"IEEE Trans.s on Inf. Techn. in Biomedicine, vol. 15,no.1,pp.155 - 163,2011.doi:10.1109/TITB.2010.2072964 | en |
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