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undergraduate thesis
Analiza molekularnog potpisa tumora uz pomoć strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:981723
Jukić, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Jukić, J. (2018). Analiza molekularnog potpisa tumora uz pomoć strojnog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:981723

Jukić, Josip. "Analiza molekularnog potpisa tumora uz pomoć strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:981723

Jukić, Josip. "Analiza molekularnog potpisa tumora uz pomoć strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:981723

Jukić, J. (2018). 'Analiza molekularnog potpisa tumora uz pomoć strojnog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 07 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:981723

Jukić J. Analiza molekularnog potpisa tumora uz pomoć strojnog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 November 07] Available at: https://urn.nsk.hr/urn:nbn:hr:168:981723

J. Jukić, "Analiza molekularnog potpisa tumora uz pomoć strojnog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:981723

Metadata
TitleAnaliza molekularnog potpisa tumora uz pomoć strojnog učenja
Title (english)Analysis of molecular signature of tumors with machine learning
AuthorJosip Jukić
MentorDomagoj Jakobović (mentor)
Committee memberDomagoj Jakobović (predsjednik povjerenstva)
Committee memberNikolina Frid (član povjerenstva)
Committee memberMarko Đurasević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U uvodnim poglavljima izložena je motivacija problema. Kratko su opisani biološki koncepti čije je poznavanje važno u kasnijim fazama. Glavna tema rada je razvoj generičkog klasifikatora. Naglasak se stavlja na mogućnost određivanja tipova i podtipova tumorskih stanica. U inkrementalnom postupku razvoja koristi se algoritam stroja potpornih vektora (SVM). Prikazan je način optimizacije parametara SVM-a uz pomoć genetskog algoritma. Opisana je implementirana paralelizacija posla pri učenju. Izgrađeni klasifikator ispitan je na različitim vrstama skupova podataka. Ukratko su opisane strategije višerazredne klasifikacije. Predstavljen je način procjene vjerojatnosti pripadnosti uzoraka pojedinim razredima klasifikacije u vidu Plattovog skaliranja. Izloženi su rezultati i uspješnost konačnog modela.
Abstract (english)
Motivation for this assignment’s problem is presented in introductory chapters. Biological concepts, key to understanding later work, are briefly described. Main topic in this assignment is development of generic classifier. Emphasis is put on possibility of determining types and subtypes of tumor cells. Algorithm Support Vector Machine is used in incremental building procedure. Optimization of SVM’s parameters with genetic algorithm is described thoroughly. Implementation of parallel computing for work needed for training is also presented. Built classifier is tested on various types of datasets. Strategies of multiclass classification are shortly described. A way of creating a probability of class association approximation is shown by method of Platt scaling. Results and achievements of final model are stated in the end.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:981723
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 on2019-03-13 21:16:09