Μέθοδοι ομαδοποίησης δεδομένων στη μοριακή βιολογία
Δασκαλοπούλου, Χρηστίνα Κ.
SubjectPolymerase chain reaction -- Methods ; Nucleic acids -- Analysis ; DNA -- Analysis ; Μοριακή βιολογία ; Στατιστική -- Οικονομετρικές μέθοδοι
Microarrays of gene expression have provoked a tremendous advent in the Biological field because they allow the simultaneous studying of thousands of genes. However due to the enormous datasets that are available statistical techniques are necessary now more than ever. The most popular statistical technique that is being applied to such data is clustering. Cluster analysis gives the opportunity to the researcher to group data with similar functionality in homogenous clusters. In this thesis an introduction which includes definitions and biological techniques is firstly presented and then the most popular clustering techniques are illustrated. Moreover old validation measures and new ones, which have been created in order to explain the biological meaning of clusters, are meticulously studied. Finally all the theoretical results are being applied and explained through an example to real gene expression data.