Online Tutorial Teaches Survival Analysis For Biomarker Discovery
Jaka Kokošar and colleagues publish a peer-reviewed online tutorial on March 20, 2026 in PLoS Computational Biology that teaches survival analysis and biomarker discovery using the Orange Data Mining no-code platform. The four-unit, 2–3 hour course includes videos, quizzes, and hands-on exercises covering censoring, Kaplan–Meier curves, group comparisons, and gene/gene-set workflows, and was tested with more than 120 participants.
Key Points
- 1Provides four teaching units and 2–3 hour hands-on tutorial using Orange Data Mining, tested by 120+ participants
- 2Bridges conceptual and programming barriers by offering no-code visual analytics and integrated videos, quizzes, and exercises
- 3Enables biomedical educators and learners to analyze survival data and discover biomarkers without coding
Scoring Rationale
Practical, peer-reviewed tutorial with high usability and clear pedagogy; limited methodological novelty beyond instructional tool integration.
Sources
Public references used for this report.
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