|
|
| Identifier |
uch.csd.msc//2005kanterakis |
| Title |
Επιλογή Γονιδίων και Κατάτμηση Δεδομένων Πειραμάτων με Μικροσυστοιχίες: Το σύστημα MineGene με Μικροσυστοιχίες: Το σύστημα MineGene |
| Alternative Title |
Gene Selection & Clustering Microarray Data: The MineGene System |
| Creator |
Kanterakis, Alexandros
|
| Abstract |
Over the last years we witness a revolution initiated by the completion of the Human Genome Project. DNA, the molecule that encodes our genetic information, has been fully sequenced setting new promises and challenges for understanding the role of genetic factors in human health and diseases. Moreover, DNA Microarrays are devices that measure the expression of many thousands of genes in parallel permitting the rapid profiling of gene expressions. Although these technological advances lead us to the understanding of the genetic base of various diseases it is evident that we need to integrate the knowledge normally processed in the clinical setting. In this Thesis we present firstly the features and components of a seamless modern information system for microarray data management that follows specific well-known ontologies and annotations alongside with some existing implementations. Furthermore we envisage a synergic clinico-genomic decision making scenario, where patients genotypic and phenotypic profile will be utilized for disease diagnose and treatment. Consequently we present two novel machine learning algorithms that facilitate the integration of such data in the medical decision process. The first is a supervised gene selection algorithm based on gene ranking through an entropic metric. The second is an unsupervised graph theoretical hierarchical clustering approach. These methods have been implemented and applied to real-world datasets and compared to other publishes approaches.
|
| Issue date |
2005-07-01 |
| Date available |
2005-07-19 |
| Collection
|
School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
|
|
|
Type of Work--Post-graduate theses
|
| Views |
529 |
Επιλογή Γονιδίων και Κατάτμηση Δεδομένων Πειραμάτων με Μικροσυστοιχίες: Το σύστημα MineGene με Μικροσυστοιχίες: Το σύστημα MineGene
