Diagnostic Receiver Operating Characteristic (ROC) curve analysis of PRKD3 expression across cancer types. The dataset, authored by Jocshan Loaiza-Moss, includes metrics such as AUC (area under the curve) and CI (confidence interval). It was last updated on April 3, 2026, and is available as a 12.7 KB XLSX file under a CC-BY-4.0 license.
Use Cases
- Evaluate the diagnostic performance of PRKD3 as a biomarker based on ROC curve analysis.
- Compare AUC values for PRKD3 expression across different cancer types.
- Assess confidence intervals for diagnostic metrics to gauge statistical reliability.
Strengths
- Dataset is small (12.7 KB), facilitating quick download and inspection.
- Includes key diagnostic metrics like AUC and confidence intervals.
- Released under a permissive 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.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Jocshan Loaiza-Moss via figshare
- Collection Method
- Likely derived from cancer genomics data sources such as TCGA (The Cancer Genome Atlas), as suggested by platform tags.
- Time Range
- null
- Freshness
- Last updated 2026-04-03 17:51:02; freshness should be verified.
- Geography
- null