Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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| URI | http://purl.tuc.gr/dl/dias/F907111A-7932-4E21-9D25-5DB808FC7B60 | - |
| Αναγνωριστικό | https://doi.org/10.26233/heallink.tuc.31880 | - |
| Γλώσσα | en | - |
| Μέγεθος | 95 pages | en |
| Τίτλος | Genetic data analysis for classification of bipolar disorders | en |
| Δημιουργός | Leska Valsamo | en |
| Δημιουργός | Λεσκα Βαλσαμω | el |
| Συντελεστής [Επιβλέπων Καθηγητής] | Zervakis Michalis | en |
| Συντελεστής [Επιβλέπων Καθηγητής] | Ζερβακης Μιχαλης | el |
| Συντελεστής [Μέλος Εξεταστικής Επιτροπής] | Balas Costas | en |
| Συντελεστής [Μέλος Εξεταστικής Επιτροπής] | Μπαλας Κωστας | el |
| Συντελεστής [Μέλος Εξεταστικής Επιτροπής] | Petrakis Evripidis | en |
| Συντελεστής [Μέλος Εξεταστικής Επιτροπής] | Πετρακης Ευριπιδης | el |
| Εκδότης | Technical University of Crete | en |
| Εκδότης | Πολυτεχνείο Κρήτης | el |
| Ακαδημαϊκή Μονάδα | Technical University of Crete::School of Electronic and Computer Engineering | en |
| Ακαδημαϊκή Μονάδα | Πολυτεχνείο Κρήτης::Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών | el |
| Περίληψη | In the resent years DNA microarray analysis has become a widely used tool for gene expression profiling and data analysis. This technology can be useful in the classification of complex diseases such as bipolar disorder, providing useful information for its genetic background. Bipolar disorder is a common, heritable mental illness characterized by recurrent episodes of mania and depression that manifests from multiple genetic and environmental factors. There are four basic types of bipolar disorder; bipolar I disorder, dipolar II disorder, Bipolar Disorder Not Otherwise Specified (BP-NOS) and Cyclothymic. The ability to classify dipolar disorders may have a major impact on our understanding of disease pathophysiology and may provide important opportunities to investigate the interaction between genetic and environmental factors involved in pathogenesis. Also this ability may be essential to guide appropriate therapy and determine prognosis for successful treatment. The aim of this diploma thesis is to extract a significant genomic signature for which biological knowledge already exists or discover novel genomic information, which might stand as the motivation for further analysis. Under this genomic signature we classify the bipolar disorders using gene expressions from two different populations. Microarray analysis normally leads to datasets which contain a small number of samples which have a large number of gene expression levels as features. In order to extract useful informative sets of genes that can reduce dimensionality and maximize the performance of classifiers, feature selection algorithms were used. Another aim of this study is to achieve stable performance assessment of feature selection and classification methods. In that manner, the genetic evaluation framework named “Stable Bootstrap Validation” (SBV), introduced be Nick Chlis, is presented. The SBV utilizes bootstrap resampling of the original dataset and an explicit criterion that determines the stability of the observed classification accuracy and the biological interpretation of genes, also called genomic signature. Moreover, methodologies for evaluating the discrimination, consistency and generalization ability of the observed results are also introduced. In this diploma thesis a unified “32 common gene signature” was extracted, which is closely associated with several aspect of bipolar disorders. | en |
| Τύπος | Διπλωματική Εργασία | el |
| Τύπος | Diploma Work | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-09-25 | - |
| Ημερομηνία Δημοσίευσης | 2015 | - |
| Θεματική Κατηγορία | Bipolar depression | en |
| Θεματική Κατηγορία | Bipolar disorder | en |
| Θεματική Κατηγορία | Depression, Bipolar | en |
| Θεματική Κατηγορία | Depression, Manic | en |
| Θεματική Κατηγορία | Manic depression | en |
| Θεματική Κατηγορία | Manic-depressive psychoses | en |
| Θεματική Κατηγορία | Manic-depressive psychosis | en |
| Θεματική Κατηγορία | Melancholia | en |
| Θεματική Κατηγορία | manic depressive illness | en |
| Θεματική Κατηγορία | bipolar depression | en |
| Θεματική Κατηγορία | bipolar disorder | en |
| Θεματική Κατηγορία | depression bipolar | en |
| Θεματική Κατηγορία | depression manic | en |
| Θεματική Κατηγορία | manic depression | en |
| Θεματική Κατηγορία | manic depressive psychoses | en |
| Θεματική Κατηγορία | manic depressive psychosis | en |
| Θεματική Κατηγορία | melancholia | en |
| Θεματική Κατηγορία | Bio-informatics | en |
| Θεματική Κατηγορία | Biological informatics | en |
| Θεματική Κατηγορία | bioinformatics | en |
| Θεματική Κατηγορία | bio informatics | en |
| Θεματική Κατηγορία | biological informatics | en |
| Βιβλιογραφική Αναφορά | Valsamo Leska, "Genetic data analysis for classification of bipolar disorders", Diploma Work, School of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece, 2015 | en |
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