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Αναγνώριση και κατηγοριοποίηση των κυκλοφορούντων καρκινικών κυττάρων μέσω χρήσης μεταγραφικών δεδομένων

Kotronia Maria

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URIhttp://purl.tuc.gr/dl/dias/DFE5A608-EC8E-46FD-A88D-2E17369BA078-
Identifierhttps://doi.org/10.26233/heallink.tuc.27751-
Languageel-
Extent8.992 KBen
TitleΑναγνώριση και κατηγοριοποίηση των κυκλοφορούντων καρκινικών κυττάρων μέσω χρήσης μεταγραφικών δεδομένων el
CreatorKotronia Mariaen
CreatorΚοτρωνια Μαριαel
Contributor [Thesis Supervisor]Zervakis Michalisen
Contributor [Thesis Supervisor]Ζερβακης Μιχαληςel
Contributor [Committee Member]Garofalakis Minosen
Contributor [Committee Member]Γαροφαλακης Μινωςel
Contributor [Committee Member]Balas Costasen
Contributor [Committee Member]Μπαλας Κωσταςel
PublisherΠολυτεχνείο Κρήτηςel
PublisherTechnical University of Creteen
Academic UnitTechnical University of Crete::School of Electronic and Computer Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστώνel
Content SummaryDespite recent advances in Microarray technology towards gene expression analysis and extraction of biological significance indices, the successful use of this technology is still elusive for many researchers. This is mainly because there is no standardization yet in methods used for the normalization of systematic noise which occurs during experimental procedures or in methods used for the biological data classification. Also, the analysis of large amount of data produced by such experiments remains a significant challenge. The objective of this diploma thesis was the development of a software platform in Matlab, able of managing and analyzing large amounts of biological data through a single personal computer. The software offers the potential to the user to choose the desired method for data analysis through a variety of normalization and classification algorithms, as well as to develop and integrate custom methods. Data is managed and stored by a specialized database management system. The software platform was tested in a plethora of biological samples with great success. This thesis is intended to serve in biological research as the basis of an innovative and complete software tool for the management and processing of large amounts of biological data in order both to produce reliable and comparable results from different microarray experiments and also to offer potential of choosing between a complete range statistical analysis methods.en
Type of ItemΔιπλωματική Εργασίαel
Type of ItemDiploma Worken
Licensehttp://creativecommons.org/licenses/by-nc/4.0/en
Date of Item2015-07-24-
Date of Publication2015-
SubjectMicroarray technologyen
SubjectBiological data managementen
Bibliographic CitationΜαρία Κοτρωνιά, "Αναγνώριση και κατηγοριοποίηση των κυκλοφορούντων καρκινικών κυττάρων μέσω χρήσης μεταγραφικών δεδομένων ", Διπλωματική Εργασία, Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2015el

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