Improving Efficiency of Boolean Networks Inference – Bc. Oto Stanko
Bc. Oto Stanko
Bachelor's thesis
Improving Efficiency of Boolean Networks Inference
Improving Efficiency of Boolean Networks Inference
Abstract:
Génové regulačné siete popisujú topológiu a dynamiku biologických systémov. Môžu byť odvodené z expresných dát, ktoré sú zvyčajne získané z experimentov. V posledných rokoch boli navrhnuté a implementované rôzne algoritmy na rekonštrukciu rozsiahlých sietí. Cieľom tejto bakalárskej práce je analýza metódy CGA-BNI založenej na genetickom programovaní. Praktická časť sa zameriava na dizajn a implementáciu …moreAbstract:
Gene regulatory networks describe the topology and dynamics of biological systems. They can be inferred from gene expression data, usually obtained from experiments. Various algorithms have been proposed and implemented in the past few years to reconstruct more extensive networks. This thesis aims to study and analyse the CGA-BNI method based on genetic programming. The practical part focuses on designing …more
Language used: English
Date on which the thesis was submitted / produced: 19. 5. 2022
Identifier:
https://is.muni.cz/th/kyr3y/
Thesis defence
- Date of defence: 29. 6. 2022
- Supervisor: doc. RNDr. David Šafránek, Ph.D.
- Reader: RNDr. Eva Šmijáková
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsBachelor programme / field:
Informatics / Informatics
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