Delta and Weighted Pearson Correlations for 385 Drug Response Models

385 drugs are analyzed for correlations between baseline gene expression and z-score-corrected models. The dataset contains Delta Pearson and weighted Pearson correlation metrics, authored by Ginte Kutkaite and last updated in May 2026. It is a small dataset of 34.1 KB, shared under a CC-BY-4.0 license on figshare.

Use Cases

• Ranking drug candidates based on correlation strength between gene expression and model predictions.
• Validating computational models of drug response using correlation metrics.
• Identifying outlier drugs where baseline gene expression poorly correlates with z-score-corrected models.

Strengths

• Focuses on a specific set of 385 drugs, enabling targeted analysis.
• Provides two distinct correlation metrics (Delta Pearson and weighted Pearson) for comparative assessment.
• Shared under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 34.1 KB file size suggests a limited scope of data.

Provenance

Source

figshare

Freshness

Last updated 2026-05-11 17:32:54.