Applying AI methods to the inference of gene regulatory networks in neural differentiation – Bc. Ondrej Kužlík
Bc. Ondrej Kužlík
Master's thesis
Applying AI methods to the inference of gene regulatory networks in neural differentiation
Applying AI methods to the inference of gene regulatory networks in neural differentiation
Abstract:
Neurálna diferenciácia je proces, pri ktorom sa neuróny - bunky v mozgovom tkanive - tvoria z ich evolučných predchodcov. Pre pochopenie mechanizmov, ktoré sú základom tohto procesu, musíme najskôr pochopiť, ako genetická informácia uložená v bunkách ovplyvňuje ich osud zmenami v génovej expresii, čím určuje, ktoré proteíny sú v bunke produkované. Expresia génu reguluje expresiu iného génu a množina …moreAbstract:
Neural differentiation is the process in which neurons - cells in the brain tissue - are formed from their cellular evolutionary predecessors. In order to understand the mechanisms underlying this process, we need to understand how the genetic information stored in the cells influences the fate of the cell by changes in gene expression, determining which proteins are produces within the cell. Expression …more
Language used: English
Date on which the thesis was submitted / produced: 21. 5. 2024
Identifier:
https://is.muni.cz/th/gqokp/
Thesis defence
- Date of defence: 21. 6. 2024
- Supervisor: RNDr. Samuel Pastva, Ph.D.
- Reader: doc. RNDr. David Šafránek, Ph.D.
Citation record
ISO 690-compliant citation record:
KUŽLÍK, Ondrej. \textit{Applying AI methods to the inference of gene regulatory networks in neural differentiation}. Online. Master's thesis. Brno: Masaryk University, Faculty of Informatics. 2024. Available from: https://theses.cz/id/kqj279/.
Full text of thesis
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Published in Theses:- světu
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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Artificial intelligence and data processing / Machine learning and artificial intelligence
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