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  • Gene expression and gene regulatory network analysis with statistical methods and machine learning algorithms.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Droumalia, Foteini
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2023-04-10
    Determining the best approach and data type for Pathway Analysis is a significant difficulty for the field of diagnostic medicine. The findings of recent studies indicate their preference for Machine Learning algorithms ...
  • Gene expression analysis using deep learning.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Panagiotakis, Georgios
    Thesis advisor: Marias, Konstantinos
    Publication Date: 2021-05-11
    The present work outlines the basic aspects of artificial intelligence in the field of bioinformatics and in particular the use of neural networks for the analysis of gene expressions. In the first stage, introductory ...