rewirebio.iobenchmarks
Protocol

CGC missense oncogenicity, tumour suppressors (loss of function) (Lee 2026, OncoCal tool_performance.tsv)

AUROC and average precision (labelled AUPRC) of 49 predictor and conservation scores on tumour suppressors (loss of function).

49 evaluations · 98 results

Overview

AUROC and average precision (labelled AUPRC) of 49 predictor and conservation scores on tumour suppressors (loss of function).

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

49 recorded evaluations, 98 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.

View coverage and remaining gaps across all benchmarks

Results

Results are available, but no reviewed comparison panel is linked in this release.

All evaluations

49 evaluations · 98 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, 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, 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, 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, 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, tumour suppressors (loss of function) (Lee 2026, OncoCal tool_performance.tsv)
Dataset: Missense variants in 768 Cancer Gene Census genes with open oncogenicity labels
0.646 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, 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 'CADD_raw', group 'TSG', column 'AUPRC'
Configuration: CADD_raw 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
0.894 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

CADD_raw 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 'CADD_raw', group 'TSG', column 'AUROC'
Configuration: ClinPred 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
0.717 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

ClinPred 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 'ClinPred', group 'TSG', column 'AUPRC'
Configuration: ClinPred 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
0.898 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

ClinPred 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 'ClinPred', group 'TSG', column 'AUROC'
Configuration: DANN 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
0.378 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

DANN 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 'DANN', group 'TSG', column 'AUPRC'
Configuration: DANN 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
0.823 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

DANN 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 'DANN', group 'TSG', column 'AUROC'
Configuration: DEOGEN2 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
0.596 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

DEOGEN2 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 'DEOGEN2', group 'TSG', column 'AUPRC'
Configuration: DEOGEN2 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
0.841 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

DEOGEN2 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 'DEOGEN2', group 'TSG', column 'AUROC'
Configuration: Eigen-PC-raw_coding 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
0.574 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

Eigen-PC-raw_coding 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 'Eigen-PC-raw_coding', group 'TSG', column 'AUPRC'
Configuration: Eigen-PC-raw_coding 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
0.865 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

Eigen-PC-raw_coding 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 'Eigen-PC-raw_coding', group 'TSG', column 'AUROC'
Configuration: Eigen-raw_coding 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
0.606 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

Eigen-raw_coding 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 'Eigen-raw_coding', group 'TSG', column 'AUPRC'
Configuration: Eigen-raw_coding 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
0.874 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

Eigen-raw_coding 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 'Eigen-raw_coding', group 'TSG', column 'AUROC'
Configuration: ESM1b 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
0.594 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

ESM1b 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 'ESM1b', group 'TSG', column 'AUPRC'
Configuration: ESM1b 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
0.858 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

ESM1b 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 'ESM1b', group 'TSG', column 'AUROC'
Configuration: fathmm-XF_coding 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
0.476 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

fathmm-XF_coding 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 'fathmm-XF_coding', group 'TSG', column 'AUPRC'
Configuration: fathmm-XF_coding 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
0.857 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

fathmm-XF_coding 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 'fathmm-XF_coding', group 'TSG', column 'AUROC'
Configuration: GERP_92_mammals 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
0.198 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

GERP_92_mammals 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 'GERP_92_mammals', group 'TSG', column 'AUPRC'

Source checking is not independent reproduction. Release 2026-10-10-7fcc3e48a123.

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External evaluations
49

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Technical metadata and extraction receipts

Stable ID: somatic-oncogenicity-20261009-protocol-lee2026-tsg

areas
dna-genomes
contexts
clinical_research
protocol
Each dbNSFP 5.3.1a rank score is used directly to rank labelled variants; AUROC and average precision (labelled AUPRC) are computed per tool on the variants it scores, for all genes and by gene role.
version
tables/tool_performance.tsv rows with group 'TSG'
metric
auroc
limitations
Negatives are ClinVar benign or likely benign and gnomAD common variants, that is germline-benign labels; the use case does not accept these as automatic somatic negatives.; Many supervised tools were trained on ClinVar labels, so the ClinVar-benign negatives overlap their training data.; Single-author bioRxiv preprint (v1, posted 2026-07-23), not peer reviewed; the analysis code is in the linked repository.; Scores are dbNSFP 5.3.1a rank scores; tool coverage differs, so each row has its own n and positives.; No uncertainty is printed in this table. The preprint Results give VARITY_R 0.874 and AlphaMissense 0.868, matching the table; the OncoCal section gives 0.871 and 0.870, probably on the unique protein-level set used to train OncoCal.; Gene role uses CGC gene-level roles where variant-level CIViC mechanism is missing, so some variants may be assigned the wrong mechanism.; The table cannot be regenerated from the repository alone: its script (src/evaluation/part_b.py) needs dbNSFP 5.3.1a and COSMIC v104, which are not redistributed. It was added in the first commit (b17e658d6b) and is unchanged at the pinned commit, whose message credits an AI coding assistant but does not touch the table or its script.
source locator
OncoCal tables/tool_performance.tsv at 40b7770f2a76, group 'TSG'; preprint S1 Table and Fig 1A
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