Post-graduate theses
Current Record: 13 of 6695
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Identifier |
000466679 |
Title |
Optimization of γ-OMP algorithm for feature selection in gene expression data |
Alternative Title |
Βελτιστοποίηση του αλγορίθμου Γ-OMP για την επιλογή χαρακτηριστικών σε δεδομένα γονιδιακής έκφρασης |
Author
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Τζαγκαράκη, Σοφία
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Thesis advisor
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Τσαγρής, Μιχαήλ
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Reviewer
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Νικολάου, Χριστόφορος
Πανταζής, Ιωάννης
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Abstract |
The advent of next-generation technologies revolutionized the field of biotechnology, allowing scientists to sequence hundreds of thousands of genes or an entire gene in a short amount of time. It can also focus on mapping variants/mutations that may have biological signaling implications for normal cell function. As a result, these findings have significant implications for illness diagnosis, prognosis, therapy decisions, and patient monitoring. This groundbreaking technological possibility of massively parallel sequencing opens up new opportunities for precision medicine, but it also introduces a new challenge: data overload.
First and foremost, genomics examines massive volumes of data, frequently including hundreds of genes in numerous samples. Identifying the proper selection of genes for identifying biological states is critical to understanding the underlying biological mechanisms. In this study, we looked at the most appropriate feature selection in cancer-related gene expression data. We developed a feature selection method (dcor-OMP), a version of the γ-OMP algorithm. The performance compared to the γ-OMP precursor was also assessed. Both of these methods are variations on the Orthogonal Matching Pursuit (OMP), which is widely used in signal processing (Chen, Billings, & Luo, 1989; Davis, Mallat, & Zhang, 1994), and have been specially customized for gene expression analysis
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Language |
English, Greek |
Subject |
Distance correlation |
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Microarray technology |
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Next -generation sequencing |
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Αλληλουχία επόμενης γενιάς |
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Μηχανική μάθηση |
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Τεχνολογία μικροσυστοιχιών |
Issue date |
2024-07-26 |
Collection
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School/Department--School of Medicine--Department of Medicine--Post-graduate theses
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Type of Work--Post-graduate theses
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Permanent Link |
https://elocus.lib.uoc.gr//dlib/7/0/d/metadata-dlib-1723112272-100595-32487.tkl
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Views |
963 |