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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 …more
Abstract:
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
 

Keywords

Systems biology Boolean networks Java Python
 
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

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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatiky
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Masaryk University

Faculty of Informatics

Bachelor programme / field:
Informatics / Informatics

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