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undergraduate thesis
Grupiranje proteina korištenjem algoritma k-sredina
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:773355
Tomić, Dora
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Tomić, D. (2021). Grupiranje proteina korištenjem algoritma k-sredina (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:773355

Tomić, Dora. "Grupiranje proteina korištenjem algoritma k-sredina." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:773355

Tomić, Dora. "Grupiranje proteina korištenjem algoritma k-sredina." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:773355

Tomić, D. (2021). 'Grupiranje proteina korištenjem algoritma k-sredina', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:773355

Tomić D. Grupiranje proteina korištenjem algoritma k-sredina [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:773355

D. Tomić, "Grupiranje proteina korištenjem algoritma k-sredina", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:773355

Metadata
TitleGrupiranje proteina korištenjem algoritma k-sredina
Title (english)Protein clustering using k-means algorithm
AuthorDora Tomić
MentorMirjana Domazet-Lošo (mentor)
Committee memberMirjana Domazet-Lošo (predsjednik povjerenstva)
Committee memberKrešimir Fertalj (član povjerenstva)
Committee memberIgor Mekterović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tema ovog završnog rada je bila implementacija algoritma k-sredina u programskom jeziku Python radi grupiranja proteinskih sljedova. U radu je prvo objašnjen pojam grupiranja, a potom i najpoznatije vrste algoritama kojima se ono provodi. Zatim je posebno obrađen algoritam k-sredina, njegova svojstva i način izvođenja. U drugom dijelu rada obrađen je postupak prikupljanja i sređivanja podataka iz proteinskih sljedova HIV-a. Objašnjena je aplikacija BLAST+ koja je korištena za dobivanje informacije o međusobnoj udaljenosti proteina na temelju kojih je obavljeno grupiranje proteina. Posljednji dio rada prikazuje implementaciju algoritma. Naposljetku su grafovima prikazani rezultati grupiranja podataka.
Abstract (english)
The topic of this thesis was the implementation of the k-means algorithm in the Python programming language for grouping protein sequences. I first explain the clustering concept and then the most well-known types of clustering algorithms. I present in more detail the k-means algorithm and its properties. The second part of the thesis deals with the process of collecting and organizing data from HIV protein sequences. I also explain the BLAST+ application, which I used to obtain information about the protein distances. In the last part of the thesis, I show the algorithm implementation and the results of data clustering.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:773355
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 21:52:21