Gene Activity Knockout Predictions: Spearman Correlation Scores and P-Values

5.5 KB of Spearman correlation scores and p-values comparing predicted versus experimental gene activity changes from knockout experiments. The data, authored by Clelia Corridori and last updated in April 2026, is stored in an XLS file. It highlights statistically significant correlations (p < 0.05) in bold formatting.

Use Cases

• Benchmarking computational methods for predicting gene activity changes based on correlation scores.
• Assessing statistical significance of model predictions using the provided p-values.
• Comparing the performance of different predictive methods in a knockout versus wild-type experimental context.

Strengths

• Correlation values are paired with precise p-values in scientific notation.
• Statistically significant results (p < 0.05) are explicitly highlighted in the data presentation.
• Data is openly available under a CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 5.5 KB size suggests a very limited scope, likely containing summary statistics rather than raw experimental data.

Provenance

Source

Clelia Corridori via figshare

Collection Method

Likely derived from computational predictions and corresponding experimental gene activity measurements.

Freshness

Last updated 2026-04-15 17:40:27; freshness should be verified.