Comparison of Biomarker Selection Robustness and Cluster Stability Across Models

A comparison of biomarker selection robustness, cluster stability, and bootstrap regression results across different analytical models. The dataset was authored by Rachel Mac Cann and is available under a CC-BY-4.0 license on figshare, last updated on April 27, 2026. The file is a 5.5 KB XLS spreadsheet.

Use Cases

• Assess biomarker selection robustness across different models based on the described comparison.
• Evaluate cluster stability of patient or sample groupings based on the described analysis.
• Compare bootstrap regression results to understand model variance and confidence intervals.
• Benchmark model performance for feature selection in high-dimensional biological data.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting broad reuse.
• File size is 5.5 KB, indicating a concise and focused comparison.
• Last update date is April 27, 2026, suggesting recent maintenance.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely contains results from computational model comparisons.

Time Range

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Freshness

Last updated 2026-04 27 17:33:32; freshness should be verified.

Geography

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