Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
|
EL
| URI: | http://purl.tuc.gr/dl/dias/9A58FEFE-A3CB-4C75-BB85-CCC76164396F | ||
| Έτος | 2013 | ||
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | ||
| Άδεια Χρήσης |
|
||
| Βιβλιογραφική Αναφορά | K. Kalantzaki, E.S. Bei, K.P. Exarchos, M. Zervakis, D. Fotiadis, M. Garofalakis ,"Indentification of altered MET network in oral cancer progression based on nonparametric network design," in 2013 35th Annual Inter. Conf. of the IEEE Eng. in Medicine and Biol. Society (EMBC) ,pp. 575-578 .doi:10.1109/EMBC.2013.6609565 https://doi.org/10.1109/EMBC.2013.6609565 | ||
| Εμφανίζεται στις Συλλογές |
Oral cancer is characterized by multiple genetic events such as alterations of a number of oncogenes and tumour suppressor genes. The aim of this study is to identify genes and their functional interactions that may play a crucial role on a specific disease-state, especially during oral cancer progression. We examine gene interaction networks on blood genomic data, obtained from twenty three oral cancer patients at four different time stages. We generate the gene-gene networks from sparse experimental temporal data using two methods, Partial Correlations and Kernel Density Estimation, in order to capture genetic interactions. The network study reveals an altered MET (hepatocyte growth factor receptor) network during oral cancer progression, which is further analyzed in relation to other studies.
Copyright © DIAS 2013
