20.500.12556/RUL-181157 Online tutorial on survival analysis for biomarker discovery In biomedicine, survival analysis addresses time-to-event data to study outcomes like patient survival and treatment response, and supports biomarker discovery. Yet, teaching this analysis is often hindered by mathematical and programming barriers. We present a structured, hands-on tutorial that goes beyond a typical online guide—offering integrated video lectures, literature, quizzes, and practical exercises. Built around Orange Data Mining, an open and free no-code visual analytics platform, the tutorial covers key concepts such as censoring, Kaplan-Meier curves, group comparisons, and biomarker discovery through real-world datasets. Organized in four pedagogical units, it progresses from basic survival data analysis to gene and gene-set biomarker discovery. Designed for 2–3 hours of learning, it supports both individual study and classroom use, and was successfully tested with over 120 participants. survival analysis biomarker discovery Kaplan-Meier curve censoring education and training analiza preživetja odkrivanje biomarkerjev Kaplan-Meierjeva krivulja cenzuriranje podatkov izobraževanje in usposabljanje true false true Angleški jezik Slovenski jezik Članek v reviji 2026-03-26 10:43:32 2026-03-26 10:43:33 2026-03-27 04:31:07 0000-00-00 00:00:00 2026 0 0 11 str. no. 3, art. e1014046 Vol. 22 2026 0000-00-00 Zaloznikova Objavljeno apc 0000-00-00 0000-00-00 0000-00-00 004:57 1553-734X 10.1371/journal.pcbi.1014046 273082371 RAZ_Kokosar_Jaka_2026.pdf RAZ_Kokosar_Jaka_2026.pdf 1 DE7E9F9ED96521E927AC1BD75E532B86 a10a9913b8ad03736bba31b84e422081fa7b34f0246d3bdf128aebab8850ab37 92a07cdd-28f9-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=231367 https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1014046 1 283b8071-28f8-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=231366 Fakulteta za računalništvo in informatiko 0 0 0