Unit:
Κατεύθυνση ΒιοπληροφορικήLibrary of the School of Science
Supervisors info:
Αλέξανδρος Γ. Γεωργακίλας, Αναπληρωτής Καθηγητής, Σχολή Εφαρμοσμένων Μαθηματικών και Φυσικών Επιστημών, Εθνικό Μετσόβιο Πολυτεχνείο
Κωνσταντίνος Ε. Βοργιάς, Καθηγητής, Τμήμα Βιολογίας, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Βασιλική Α. Οικονομίδου, Επίκουρη Καθηγήτρια, Τμήμα Βιολογίας, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Original Title:
Ανάλυση Μικροσυστοιχιών σε Καρκινικά Βλαστικά Κύτταρα
Translated title:
Analysis of Microarray Data in Cancer Stem Cells
Summary:
"Cancer stem cell" is a generic term referring to cancer cells capable of differentiation and self-renewal, which are seemingly the main reason for can-cer stem cell resistance to chemotherapy. Their origin remains unclarified, although a number of assumptions have been proposed. Cancer stem cells play a key role in the development, metastasis, and recurrence of cancer.
The purpose of the present study is to use gene expression data from a va-riety of cancer stem cell tissues to determine the mechanisms of patho-genicity and response in therapeutic regimens. Statistical analysis and functional analysis of the data are performed and a method of comparative study and correlation of the resulting models based on a nodal phenotype is developed.
Main subject category:
Science
Keywords:
microarrays, cancer stem cells, pan-cancer gene tag
Number of references:
184
File:
File access is restricted only to the intranet of UoA.
Tzanos_thesis.pdf
49 MB
File access is restricted only to the intranet of UoA.