Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

Supporting genotype‐to‐phenotype association studies with grid‐enabledknowledge discovery workflows

Moustakis Vasilis, Koumakis L., Tsiknakis M., Kafetzopoulos D., Potamias G.

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/89F47754-507F-42A9-891B-219AB7B3AE4F-
Αναγνωριστικόhttps://doi.org/10.1109/IEMBS.2009.5333882-
Γλώσσαen-
ΤίτλοςSupporting genotype‐to‐phenotype association studies with grid‐enabled knowledge discovery workflowsen
ΔημιουργόςMoustakis Vasilisen
ΔημιουργόςΜουστακης Βασιληςel
ΔημιουργόςKoumakis L.en
ΔημιουργόςTsiknakis M.en
ΔημιουργόςKafetzopoulos D.en
ΔημιουργόςPotamias G.en
ΕκδότηςNational Center for Biotechnology Informationen
ΠερίληψηWeb Services and Grid-enabled scientific workflows are of paramount importance for the realization of efficient and secure knowledge discovery scenarios. This paper presents a Grid-enabled Genotype-to-Phenotype discovery scenario (GG2P), which is realized by a respective scientific workflow. GG2P supports the seamless integration of SNP genotype data sources, and the discovery of indicative and predictive genotype-to-phenotype association models - all wrapped around custom-made Web Services. GG2P is applied on a whole-genome SNP-genotyping experiment (breast cancer vs. normal/control phenotypes). A set of about 100 indicative SNPs are induced with very high classification performance. The biological relevance of the findings is supported by the relevant literature.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-03-
Ημερομηνία Δημοσίευσης2009-
Βιβλιογραφική ΑναφοράL. Koumakis, V. Moustakis, M. Tsiknakis, D. Kafetzopoulos, and D. Potamias, "Supporting Genotype‐to‐Phenotype Association Studies with Grid‐enabled Knowledge Discovery Workflows" in 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, 2009, pp. 6958-62. doi: 10.1109/IEMBS.2009.5333882.en

Υπηρεσίες

Στατιστικά

 

Copyright © DIAS 2013