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master's thesis
Iterativno traženje fraza i statistika semantičkog indeksiranja
Zagreb: University of Zagreb, Faculty of Science, 2019. urn:nbn:hr:217:392336
Mavrek, Silvestar
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Mavrek, S. (2019). Iterativno traženje fraza i statistika semantičkog indeksiranja (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:392336

Mavrek, Silvestar. "Iterativno traženje fraza i statistika semantičkog indeksiranja." Master's thesis, University of Zagreb, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:217:392336

Mavrek, Silvestar. "Iterativno traženje fraza i statistika semantičkog indeksiranja." Master's thesis, University of Zagreb, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:217:392336

Mavrek, S. (2019). 'Iterativno traženje fraza i statistika semantičkog indeksiranja', Master's thesis, University of Zagreb, Faculty of Science, accessed 23 December 2024, https://urn.nsk.hr/urn:nbn:hr:217:392336

Mavrek S. Iterativno traženje fraza i statistika semantičkog indeksiranja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2019 [cited 2024 December 23] Available at: https://urn.nsk.hr/urn:nbn:hr:217:392336

S. Mavrek, "Iterativno traženje fraza i statistika semantičkog indeksiranja", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:217:392336

Metadata
TitleIterativno traženje fraza i statistika semantičkog indeksiranja
AuthorSilvestar Mavrek
MentorPavle Goldstein (mentor)
Committee memberEduard Marušić-Paloka (predsjednik povjerenstva)
Committee memberPavle Goldstein (član povjerenstva)
Committee memberNela Bosner (član povjerenstva)
Committee memberMarko Vrdoljak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2019-03-01, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Potreba za točnim, automatiziranim metodama klasifikacije nastavlja se povećavati kako napredak biotehnologije otkriva nove proteine. U radu je provedeno nekoliko analiza klasifikacije proteina u proteinske familije, koristeći vrlo jednostavan pristup preuzet iz semantičkog indeksiranja. Naglasak je bio na metodama identifikacije diskriminativnih uređenih četvorki aminokiselina s ciljem što boljeg razlikovanja familija proteina. Uz vrlo malu razinu prethodno iskorištenog biološkog znanja dobiveni su iznenađujuće dobri rezultati.
Abstract (english)
The need for accurate, automated protein classification methods continues to increase as advances in biotechnology uncover new proteins. We carried out protein classification by several methods, using a very simple approach taken from semantic indexing. The emphasis was on identifying discriminating blocks of amino acids to distinguish between various protein families. Our classification results are surprisingly good, especially considering no expert knowledge was used in the process.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:392336
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 on2019-08-29 12:50:20