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master's thesis
Analiza proteinskih nizova iz CoViD-a 19
Zagreb: University of Zagreb, Faculty of Science, 2022. urn:nbn:hr:217:576004
Mavrek, Iva
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Mavrek, I. (2022). Analiza proteinskih nizova iz CoViD-a 19 (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:576004

Mavrek, Iva. "Analiza proteinskih nizova iz CoViD-a 19." Master's thesis, University of Zagreb, Faculty of Science, 2022. https://urn.nsk.hr/urn:nbn:hr:217:576004

Mavrek, Iva. "Analiza proteinskih nizova iz CoViD-a 19." Master's thesis, University of Zagreb, Faculty of Science, 2022. https://urn.nsk.hr/urn:nbn:hr:217:576004

Mavrek, I. (2022). 'Analiza proteinskih nizova iz CoViD-a 19', Master's thesis, University of Zagreb, Faculty of Science, accessed 23 December 2024, https://urn.nsk.hr/urn:nbn:hr:217:576004

Mavrek I. Analiza proteinskih nizova iz CoViD-a 19 [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2022 [cited 2024 December 23] Available at: https://urn.nsk.hr/urn:nbn:hr:217:576004

I. Mavrek, "Analiza proteinskih nizova iz CoViD-a 19", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:217:576004

Metadata
TitleAnaliza proteinskih nizova iz CoViD-a 19
Title (english)Analysis of protein sequences from CoViD 19
AuthorIva Mavrek
MentorPavle Goldstein (mentor)
Committee memberPavle Goldstein (predsjednik povjerenstva)
Committee memberBojan Basrak (član povjerenstva)
Committee memberVedran Čačić (član povjerenstva)
Committee memberMarko Horvat (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2022-05-05, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Tema ovog diplomskog rada je analiza S proteina iz koronavirusa. Tehnika strojnog učenja i statističke analize generaliziraju se na nizovima sa crticom. Na početku su dani matematički pojmovi potrebni za razumijevanje termina koji su korišteni u radu i objašnjena je struktura podataka. Na pripremljenim podacima primjenjuje se k-means++ klasteriranje, traženje najznačajnijih pozicija za klasteriranje, rangiranje po standardnim devijacijama pojedine pozicije, traženje popratnih mutacija pomoću omjera. Sve analize u diplomskom radu (grafovi, stupčasti dijagrami, tablice) napravljene su u programskom jeziku Python.
Abstract (english)
The topic of this thesis is the analysis of S protein from coronavirus. Machine learning techniques and statistical analysis are generalized on strings with a dash. At the beginning, the mathematical concepts needed to understand the terms used in the paper are given and the data structure is explained. On the prepared data, k-means ++ clustering is applied, as well as searching for the most important positions for clustering, ranking according to standard deviations of individual positions, searching for accompanying mutations using ratios. All the analyses in the thesis (graphs, bar charts, tables) are made in the Python programming language.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:576004
Study programmeTitle: Mathematical Statistics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-06-07 11:55:53