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  • Multi-omic analysis of genomic data for the classification of glioblastoma samples.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Oikonomou, Nikolaos
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2023-05-10
    Clustering of individual omic datasets has proven invaluable for biological and medical research. Decreasing costs and the development of next-generation sequencing (NGS) methods now have the measurement of multi-omic data. ...