Gene Expression Model Comparison: ROC AUC and KL-Divergence Metrics

5.5 KB of tabular data contains single gene ROC AUCs and KL-divergence metrics for Gene Ontology terms in 2007 and 2022. The data was generated by Cole E. McGuire to construct a figure in a published research article. It was last updated on April 16, 2026.

Use Cases

• Compare model performance metrics (ROC AUC) for gene expression models based on the described Model 2–4.
• Analyze changes in gene expression patterns over time based on KL-divergence metrics between 2007 and 2022.
• Benchmark gene expression prediction models using Gene Ontology annotations as a reference.
• Validate computational biology models by comparing their outputs against the provided ROC AUC scores.

Strengths

• Data is directly linked to a published research article (PLOS ONE), providing a clear academic context.
• File size is 5.5 KB, indicating a compact and focused dataset.
• Includes metrics for two distinct time points (2007 and 2022), enabling temporal comparison.

Limitations

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

Provenance

Source

Cole E. McGuire via figshare.

Collection Method

Likely generated as part of computational analysis for a research publication.

Time Range

2007 and 2022.

Freshness

Last updated 2026-04-16 17:29:42; freshness should be verified.