rewirebio.iobenchmarks
Dataset

Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels

Benchmark data in Lee 2026.

Research readiness

These checks assess whether the evidence supports a reproducible investigation. A source-checked score alone does not meet these requirements.

Release 2026-10-10-6e93f504adfc · Evidence verified: Not verified

Evidence incomplete

Replay metrics

Exact outcomes, predictions, identifiers and evaluator are connected.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • artifact hashes: verification is missing
  • join integrity: verification is missing
  • score semantics: verification is missing
  • metric replay: verification is missing

Verified: Not verified

Evidence incomplete

Investigate discrepancies

Replay evidence includes annotations and an assessment of dependence. Unknown independence permits descriptive analysis only.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • artifact hashes: verification is missing
  • join integrity: verification is missing
  • score semantics: verification is missing
  • metric replay: verification is missing
  • annotations: verification is missing
  • dependence: verification is missing

Verified: Not verified

Evidence incomplete

Run locally

A pinned recipe describes the inputs, environment and resource requirements.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • artifact hashes: verification is missing
  • join integrity: verification is missing
  • score semantics: verification is missing
  • recipe pinned: verification is missing
  • resource estimate: verification is missing

Verified: Not verified

Evidence incomplete

Validate independently

Separate data and exposure records support an independent test.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • artifact hashes: verification is missing
  • join integrity: verification is missing
  • score semantics: verification is missing
  • independent validation: verification is missing
  • overlap checked: verification is missing

Verified: Not verified

Readiness describes the evidence in this release. Availability on your computer is checked separately when an investigation runs. Existing data exposure can prevent independent validation even when files are available.

Artifacts and reproduction

No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.

Read reviewed discrepancy investigations

Evaluation results

147 evaluations · 294 results. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: AlphaMissense rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, all genes (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.75 average-precision
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaMissense on CGC missense, all genes (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-all

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'AlphaMissense', group 'all', column 'AUPRC'
Configuration: AlphaMissense rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, all genes (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.868 auroc
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaMissense on CGC missense, all genes (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-all

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'AlphaMissense', group 'all', column 'AUROC'
Configuration: AlphaMissense rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, oncogenes (gain of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.804 average-precision
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaMissense on CGC missense, oncogenes (gain of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-oncogene

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'AlphaMissense', group 'oncogene', column 'AUPRC'
Configuration: AlphaMissense rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, oncogenes (gain of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.885 auroc
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaMissense on CGC missense, oncogenes (gain of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-oncogene

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'AlphaMissense', group 'oncogene', column 'AUROC'
Configuration: AlphaMissense rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, tumour suppressors (loss of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.749 average-precision
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaMissense on CGC missense, tumour suppressors (loss of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-tsg

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'AlphaMissense', group 'TSG', column 'AUPRC'
Configuration: AlphaMissense rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, tumour suppressors (loss of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.9 auroc
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaMissense on CGC missense, tumour suppressors (loss of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-tsg

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'AlphaMissense', group 'TSG', column 'AUROC'
Configuration: BayesDel_addAF rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, all genes (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.712 average-precision
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BayesDel_addAF on CGC missense, all genes (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-all

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'BayesDel_addAF', group 'all', column 'AUPRC'
Configuration: BayesDel_addAF rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, all genes (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.864 auroc
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BayesDel_addAF on CGC missense, all genes (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-all

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'BayesDel_addAF', group 'all', column 'AUROC'
Configuration: BayesDel_addAF rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, oncogenes (gain of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.764 average-precision
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BayesDel_addAF on CGC missense, oncogenes (gain of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-oncogene

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'BayesDel_addAF', group 'oncogene', column 'AUPRC'
Configuration: BayesDel_addAF rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, oncogenes (gain of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.878 auroc
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BayesDel_addAF on CGC missense, oncogenes (gain of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-oncogene

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'BayesDel_addAF', group 'oncogene', column 'AUROC'
Configuration: BayesDel_addAF rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, tumour suppressors (loss of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.684 average-precision
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BayesDel_addAF on CGC missense, tumour suppressors (loss of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-tsg

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'BayesDel_addAF', group 'TSG', column 'AUPRC'
Configuration: BayesDel_addAF rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, tumour suppressors (loss of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.892 auroc
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BayesDel_addAF on CGC missense, tumour suppressors (loss of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-tsg

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'BayesDel_addAF', group 'TSG', column 'AUROC'
Configuration: BayesDel_noAF rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, all genes (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.649 average-precision
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BayesDel_noAF on CGC missense, all genes (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-all

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'BayesDel_noAF', group 'all', column 'AUPRC'
Configuration: BayesDel_noAF rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, all genes (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.825 auroc
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BayesDel_noAF on CGC missense, all genes (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-all

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'BayesDel_noAF', group 'all', column 'AUROC'
Configuration: BayesDel_noAF rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, oncogenes (gain of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.688 average-precision
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BayesDel_noAF on CGC missense, oncogenes (gain of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-oncogene

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'BayesDel_noAF', group 'oncogene', column 'AUPRC'
Configuration: BayesDel_noAF rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, oncogenes (gain of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.827 auroc
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BayesDel_noAF on CGC missense, oncogenes (gain of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-oncogene

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'BayesDel_noAF', group 'oncogene', column 'AUROC'
Configuration: BayesDel_noAF rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, tumour suppressors (loss of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.63 average-precision
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BayesDel_noAF on CGC missense, tumour suppressors (loss of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-tsg

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'BayesDel_noAF', group 'TSG', column 'AUPRC'
Configuration: BayesDel_noAF rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, tumour suppressors (loss of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.867 auroc
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BayesDel_noAF on CGC missense, tumour suppressors (loss of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-tsg

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'BayesDel_noAF', group 'TSG', column 'AUROC'
Configuration: bStatistic rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, all genes (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.16 average-precision
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

bStatistic on CGC missense, all genes (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-all

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'bStatistic', group 'all', column 'AUPRC'
Configuration: bStatistic rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, all genes (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.438 auroc
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

bStatistic on CGC missense, all genes (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-all

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'bStatistic', group 'all', column 'AUROC'
Configuration: bStatistic rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, oncogenes (gain of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.245 average-precision
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

bStatistic on CGC missense, oncogenes (gain of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-oncogene

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'bStatistic', group 'oncogene', column 'AUPRC'
Configuration: bStatistic rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, oncogenes (gain of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.425 auroc
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

bStatistic on CGC missense, oncogenes (gain of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-oncogene

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'bStatistic', group 'oncogene', column 'AUROC'
Configuration: bStatistic rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, tumour suppressors (loss of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.0951 average-precision
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

bStatistic on CGC missense, tumour suppressors (loss of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-tsg

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'bStatistic', group 'TSG', column 'AUPRC'
Configuration: bStatistic rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, tumour suppressors (loss of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.384 auroc
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

bStatistic on CGC missense, tumour suppressors (loss of function) (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-tsg

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'bStatistic', group 'TSG', column 'AUROC'
Configuration: CADD_raw rank score, dbNSFP 5.3.1a (Lee 2026)Protocol: CGC missense oncogenicity, all genes (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.596 average-precision
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

CADD_raw on CGC missense, all genes (Lee 2026)

somatic-oncogenicity-20261009-protocol-lee2026-all

Aggregation: Not reported

An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers; OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role) · OncoCal tables/tool_performance.tsv at commit 40b7770f2a76, row tool 'CADD_raw', group 'all', column 'AUPRC'

Source checking is not independent reproduction. Release 2026-10-10-6e93f504adfc.

Dataset and evaluation context

A dataset supplies biological observations. The evaluation protocol defines how those observations are split, used and scored.

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

10 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-10-6e93f504adfc
Property and statementOriginal source and locationReview and provenance
attributes.population
20,815 unique protein-level entries (3,922 positive). Positives: cancerhotspots residues, CIViC oncogenic, or COSMIC recurrence of at least 10 samples; negatives: ClinVar benign or likely benign, or gnomAD allele frequency of at least 0.001. Gene role from CIViC variant mechanism where available, otherwise CGC gene role. tool_performance.tsv counts labelled variant rows per tool, which exceed the protein-level counts (for example 22,791 rows with 4,123 positives for AlphaMissense).
Context-only references
An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers

Original source ↗

Preprint Results first section and Methods 'Labels'; OncoCal data/README.md

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: bioRxiv 2026.07.16.739080 v1, posted 2026-07-23; full-text HTML page
Retrieved: 2026-10-09T20:48:19Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.population

Source artifact SHA-256: 1b4dfadc861c6b8dbecde6ebb5efdb5ab7203bcf6f1b4e06edc70e167e7050e9

Hash scope: SHA-256 of one retrieval of the full-text HTML page, which is mutable (site chrome, metrics). The PDF request returned HTTP 429.

Inspected artifact

attributes.population
20,815 unique protein-level entries (3,922 positive). Positives: cancerhotspots residues, CIViC oncogenic, or COSMIC recurrence of at least 10 samples; negatives: ClinVar benign or likely benign, or gnomAD allele frequency of at least 0.001. Gene role from CIViC variant mechanism where available, otherwise CGC gene role. tool_performance.tsv counts labelled variant rows per tool, which exceed the protein-level counts (for example 22,791 rows with 4,123 positives for AlphaMissense).
Context-only references
OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role)

Original source ↗

Preprint Results first section and Methods 'Labels'; OncoCal data/README.md

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Version: commit 40b7770f2a768ba800c4f4c6b48e2bfe967ed14a (2026-07-11)
Retrieved: 2026-10-09T20:48:49Z

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Field: attributes.population

Source artifact SHA-256: 8f5a81078482c8010b83bba6225e9707980a3a7cebbb2ca00ed8b155ad34c3b5

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Inspected artifact

attributes.source_locator
Preprint Results first section and Methods 'Labels'; OncoCal data/README.md
Context-only references
An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers

Original source ↗

Preprint Results first section and Methods 'Labels'; OncoCal data/README.md

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: bioRxiv 2026.07.16.739080 v1, posted 2026-07-23; full-text HTML page
Retrieved: 2026-10-09T20:48:19Z

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Field: attributes.source_locator

Source artifact SHA-256: 1b4dfadc861c6b8dbecde6ebb5efdb5ab7203bcf6f1b4e06edc70e167e7050e9

Hash scope: SHA-256 of one retrieval of the full-text HTML page, which is mutable (site chrome, metrics). The PDF request returned HTTP 429.

Inspected artifact

attributes.source_locator
Preprint Results first section and Methods 'Labels'; OncoCal data/README.md
Context-only references
OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role)

Original source ↗

Preprint Results first section and Methods 'Labels'; OncoCal data/README.md

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: commit 40b7770f2a768ba800c4f4c6b48e2bfe967ed14a (2026-07-11)
Retrieved: 2026-10-09T20:48:49Z

not individually reviewed

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Source artifact SHA-256: 8f5a81078482c8010b83bba6225e9707980a3a7cebbb2ca00ed8b155ad34c3b5

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.split
Whole labelled set per tool (tool-specific coverage; n and positives printed per row)
Context-only references
An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers

Original source ↗

Preprint Results first section and Methods 'Labels'; OncoCal data/README.md

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: bioRxiv 2026.07.16.739080 v1, posted 2026-07-23; full-text HTML page
Retrieved: 2026-10-09T20:48:19Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.split

Source artifact SHA-256: 1b4dfadc861c6b8dbecde6ebb5efdb5ab7203bcf6f1b4e06edc70e167e7050e9

Hash scope: SHA-256 of one retrieval of the full-text HTML page, which is mutable (site chrome, metrics). The PDF request returned HTTP 429.

Inspected artifact

attributes.split
Whole labelled set per tool (tool-specific coverage; n and positives printed per row)
Context-only references
OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role)

Original source ↗

Preprint Results first section and Methods 'Labels'; OncoCal data/README.md

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: commit 40b7770f2a768ba800c4f4c6b48e2bfe967ed14a (2026-07-11)
Retrieved: 2026-10-09T20:48:49Z

not individually reviewed

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Field: attributes.split

Source artifact SHA-256: 8f5a81078482c8010b83bba6225e9707980a3a7cebbb2ca00ed8b155ad34c3b5

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description
Benchmark data in Lee 2026.
Context-only references
An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers

Original source ↗

Preprint Results first section and Methods 'Labels'; OncoCal data/README.md

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: bioRxiv 2026.07.16.739080 v1, posted 2026-07-23; full-text HTML page
Retrieved: 2026-10-09T20:48:19Z

not individually reviewed

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Field: description

Source artifact SHA-256: 1b4dfadc861c6b8dbecde6ebb5efdb5ab7203bcf6f1b4e06edc70e167e7050e9

Hash scope: SHA-256 of one retrieval of the full-text HTML page, which is mutable (site chrome, metrics). The PDF request returned HTTP 429.

Inspected artifact

description
Benchmark data in Lee 2026.
Context-only references
OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role)

Original source ↗

Preprint Results first section and Methods 'Labels'; OncoCal data/README.md

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: commit 40b7770f2a768ba800c4f4c6b48e2bfe967ed14a (2026-07-11)
Retrieved: 2026-10-09T20:48:49Z

not individually reviewed

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Field: description

Source artifact SHA-256: 8f5a81078482c8010b83bba6225e9707980a3a7cebbb2ca00ed8b155ad34c3b5

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Inspected artifact

name
Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
Context-only references
An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers

Original source ↗

Preprint Results first section and Methods 'Labels'; OncoCal data/README.md

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: bioRxiv 2026.07.16.739080 v1, posted 2026-07-23; full-text HTML page
Retrieved: 2026-10-09T20:48:19Z

not individually reviewed

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Audit details

Field: name

Source artifact SHA-256: 1b4dfadc861c6b8dbecde6ebb5efdb5ab7203bcf6f1b4e06edc70e167e7050e9

Hash scope: SHA-256 of one retrieval of the full-text HTML page, which is mutable (site chrome, metrics). The PDF request returned HTTP 429.

Inspected artifact

name
Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
Context-only references
OncoCal repository, tables/tool_performance.tsv (per-tool AUROC and AUPRC by gene role)

Original source ↗

Preprint Results first section and Methods 'Labels'; OncoCal data/README.md

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: commit 40b7770f2a768ba800c4f4c6b48e2bfe967ed14a (2026-07-11)
Retrieved: 2026-10-09T20:48:49Z

not individually reviewed

No individual claim review recorded

Audit details

Field: name

Source artifact SHA-256: 8f5a81078482c8010b83bba6225e9707980a3a7cebbb2ca00ed8b155ad34c3b5

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Sources and history

Release 2026-10-10-6e93f504adfc · Record review: source checked

2 source records and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: somatic-oncogenicity-20261009-data-lee2026-cgc-missense

areas
dna-genomes
contexts
clinical_research
population
20,815 unique protein-level entries (3,922 positive). Positives: cancerhotspots residues, CIViC oncogenic, or COSMIC recurrence of at least 10 samples; negatives: ClinVar benign or likely benign, or gnomAD allele frequency of at least 0.001. Gene role from CIViC variant mechanism where available, otherwise CGC gene role. tool_performance.tsv counts labelled variant rows per tool, which exceed the protein-level counts (for example 22,791 rows with 4,123 positives for AlphaMissense).
split
Whole labelled set per tool (tool-specific coverage; n and positives printed per row)
source locator
Preprint Results first section and Methods 'Labels'; OncoCal data/README.md
missing metadata
version: reason: unreported; note: CIViC nightly, ClinVar and cancerhotspots v2 download dates not stated; COSMIC v104; dbNSFP 5.3.1a
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