Online tutorial on survival analysis for biomarker discovery

Kokošar, Jaka (avtor), Praznik, Ela (avtor), Špendl, Martin (avtor), Moreno, Nancy P. (avtor), Newel, Alana (avtor), Shaulsky, Gad (avtor), Zupan, Blaž (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: survival analysis, biomarker discovery, Kaplan-Meier curve, censoring, education and training
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2026
• Št. strani: 11 str.
• Številčenje: Vol. 22, no. 3, art. e1014046
• PID: 20.500.12556/RUL-181157
• UDK: 004:57
• ISSN pri članku: 1553-734X
• DOI: 10.1371/journal.pcbi.1014046
• COBISS.SI-ID: 273082371
• Datum objave v RUL: 26.03.2026

Gradivo je del revije

• Naslov: PLoS computational biology
• Skrajšan naslov: PLOS comput. biol.
• Založnik: Public Library of Science
• ISSN: 1553-734X
• COBISS.SI-ID: 512883993

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: analiza preživetja, odkrivanje biomarkerjev, Kaplan-Meierjeva krivulja, cenzuriranje podatkov, izobraževanje in usposabljanje