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master's thesis
Usporedba algoritamskog pristupa i tehnika strojnog učenja za problem grupiranja sekvenci DNA
2022. urn:nbn:hr:168:976530
Letić, Sandi
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Letić, S. (2022). Usporedba algoritamskog pristupa i tehnika strojnog učenja za problem grupiranja sekvenci DNA (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:976530

Letić, Sandi. "Usporedba algoritamskog pristupa i tehnika strojnog učenja za problem grupiranja sekvenci DNA." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:976530

Letić, Sandi. "Usporedba algoritamskog pristupa i tehnika strojnog učenja za problem grupiranja sekvenci DNA." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:976530

Letić, S. (2022). 'Usporedba algoritamskog pristupa i tehnika strojnog učenja za problem grupiranja sekvenci DNA', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 10 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:976530

Letić S. Usporedba algoritamskog pristupa i tehnika strojnog učenja za problem grupiranja sekvenci DNA [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 April 10] Available at: https://urn.nsk.hr/urn:nbn:hr:168:976530

S. Letić, "Usporedba algoritamskog pristupa i tehnika strojnog učenja za problem grupiranja sekvenci DNA", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:976530

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Metadata
TitleUsporedba algoritamskog pristupa i tehnika strojnog učenja za problem grupiranja sekvenci DNA
Title (english)Comparison of Algorithmic Approach and Machine Learning for Grouping Similar DNA Sequences
AuthorSandi Letić
MentorKrešimir Križanović (mentor)
Committee memberKrešimir Križanović (predsjednik povjerenstva)
Committee memberIgor Mekterović (član povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Razvijen je programski kod algoritama za pronalazak alela u bioinformatičkim podacima sa replikom. Algoritam je proširen sa mogućnošću obrade podataka bez replike. Usporedili smo njegovu efikasnost sa pojedinim algoritmima nenadziranog strojnog učenja. Rezultati i vrijeme obrade pokazuju efikasnost algoritma i neefikasnost općenitije, neprilagođene metode.
Abstract (english)
We developed a program for finding alleles in bioinformatics data with replicates. The algorithm functionality was then extended to enable processing data without replicates. The efficiency of the algorithm was compared to an unsupervised machine learning algorithm. The results and time required show the effectiveness of the algorithmic approach and the opposite for the more general unsupervised methods.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:976530
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-15 10:40:36