Browsing EΛ.ΜΕ.ΠΑ. / HMU by Keywords "γονιδιακή έκφραση"
Now showing items 1-2 of 2
-
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:
Thesis advisor:
Publication Date: 2023-04-10Determining 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:
Thesis advisor:
Publication Date: 2021-05-11The 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 ...