20.500.12556/DKUM-11628 META-UČENJE Z UPORABO REZULTATOV ANALIZE OBOGATENOSTI SKUPIN GENOV USING GENE SET ENRICHMENT ANALYSIS RESULTS FOR META-LEARNING V diplomskem delu smo proučili in pokazali možnost uporabe postopkov meta učenja za proučevanje delovanja algoritma GSEA. Napisali smo aplikacijo, v kateri smo uvedli večnitno izvajanje in implementirali upravitelja opravil. Ta nam omogoča spremljanje poteka izvajanja, s tem pa obveščanje uporabnika o stanju v aplikaciji. V začetku diplomske naloge smo opisali formate datotek, katere uporabljamo, nato smo opisali strojno učenje in njegovo podpoglavje meta-učenje. Nadaljevali smo s postopki izvajanja GSEA analize in gradnjo odločitvenih dreves. Diplomsko nalogo smo zaključili s sklepom, v katerem smo navedli možnosti za nadaljnje raziskovanje. In diploma work we demonstrate a way to use meta learning concepts to study results of GSEA algorithm that is widely used in bioinformatics. We developed an application where we introduced multitasking and implemented task manager. This enables monitoring progress, thereby informing the user of the state of application. At the beginning of the diploma work we examined the use of file formats. In the following sections we describe machine learning and meta learning concepts. We continue with the GSEA analysis and building of decision trees. Diploma work concludes with the final section in which we have indicated the potential for further exploration. strojno učenje meta-učenje bioinformatika odločitvena drevesa machine learning meta learning bioinformatics decision trees true true false [D. Šnajder] Slovenski jezik Angleški jezik Diplomsko delo 2009-09-07 11:36:19 2009-09-10 15:02:19 2022-04-12 00:02:38 2022-04-18 03:20:47 2009 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.89(043.2) 13678358 URN:SI:UM:DK:G9KCW0H4 VS_Snajder_Dario_2009.pdf VS_Snajder_Dario_2009.pdf 1 0C649024AEFD0ED7691F37DA62B1C38E c7b8e9d8b7a4383f4be5a373538d1743b47aa70de5507b50554df45f5d69ab28 2d2832c6-7c03-11eb-bb7a-00155d0001ca 20.500.12556/dkum/b2060808-94f9-49e4-b9d7-35ae4a172391 https://dk.um.si/Dokument.php?lang=slv&id=10433 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0