scHilda: Statistical Significance and Effect Sizes vs. Baseline Methods

Yilang Li published a dataset on 2026-05-11 comparing the scHilda method against baseline methods. The dataset is 5.5 KB in size and is available in XLS format. It provides statistical significance and effect size metrics for the comparison.

Use Cases

• Benchmark new single-cell analysis algorithms based on reported statistical significance metrics.
• Validate performance claims of the scHilda method based on the provided effect size data.
• Conduct meta-analysis of method comparisons based on the compiled significance and effect size results.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is precisely 5.5 KB, indicating a focused scope.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Freshness

Last updated 2026-05-11 17:47:31; freshness should be verified.