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master's thesis
Metode za identifikaciju spacijalnih regija ekspresije gena
2022. urn:nbn:hr:126:227733
Prusina, Tomislav
Josip Juraj Strossmayer University of Osijek
Department of Mathematics

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Prusina, T. (2022). Metode za identifikaciju spacijalnih regija ekspresije gena (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:227733

Prusina, Tomislav. "Metode za identifikaciju spacijalnih regija ekspresije gena." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2022. https://urn.nsk.hr/urn:nbn:hr:126:227733

Prusina, Tomislav. "Metode za identifikaciju spacijalnih regija ekspresije gena." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2022. https://urn.nsk.hr/urn:nbn:hr:126:227733

Prusina, T. (2022). 'Metode za identifikaciju spacijalnih regija ekspresije gena', Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 11 November 2024, https://urn.nsk.hr/urn:nbn:hr:126:227733

Prusina T. Metode za identifikaciju spacijalnih regija ekspresije gena [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2022 [cited 2024 November 11] Available at: https://urn.nsk.hr/urn:nbn:hr:126:227733

T. Prusina, "Metode za identifikaciju spacijalnih regija ekspresije gena", Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:126:227733

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Metadata
TitleMetode za identifikaciju spacijalnih regija ekspresije gena
Title (english)Neural Network Methods for Spacial Transcriptomics Clustering
AuthorTomislav Prusina
MentorDomagoj Matijević (mentor)
Committee memberKristian Sabo (predsjednik povjerenstva)
Committee memberDomagoj Matijević (član povjerenstva)
Committee memberDomagoj Ševerdija (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Department of Mathematics
Osijek
Defense date and country2022-10-04, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Mathematical Logic and Accounting
Abstract
U ovom radu se bavimo metodama za klasteriranje tkiva baziranim na neuronskim mrežama. Uvodimo problem klasteriranja tkiva, navodimo neke od stateof-the-art metoda za rješavanje tog problema te detaljnije objašnjavamo metode bazirane na neuronskim mrežama.
Abstract (english)
In this paper, we consider the problem of clustering spatial domains for certain tissue samples. We list some of the state-of-the-art methods that are used in solving this problem and then explain in more detail the ideas behind the neural network methods that we mention. To show the capability of each NN method, here we provide the results of some experiments.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:227733
Study programmeTitle: Mathematics; specializations in: Financial and Statistical Mathematics, Mathematics and Computer Science, Industrial and Applied Mathematics
Course: Financial and Statistical Mathematics
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 on2022-10-13 11:38:33