rewirebio.iobenchmarks
Evaluation

MetaLR on OncoKB benchmark (positive set not stated), default categorical calls (Chen et al. 2020)

Published comparison of variant effect predictors; transcribed, not reproduced.

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

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Evaluation results

1 evaluation · 5 results. Different protocols are not a single leaderboard.

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Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: MetaLR (Chen et al. 2020)Protocol: OncoKB benchmark (positive set not stated), default categorical calls (Chen et al. 2020 Additional file 10)
Dataset: OncoKB-annotated somatic missense mutations (oncogenic, likely oncogenic and likely neutral)
0.57 accuracy
fraction · higher

Uncertainty: Not yet extracted: Printed as 'mean (lower-upper)' under the column header '(±2σ)': per Methods, the mean and two standard deviations over 100 random draws. That is not a confidence interval, and the schema's standard_deviation type would need a standard deviation derived from rounded bounds, so no structured uncertainty is recorded. The printed range is kept in printed_source_cell; every range is symmetric about the mean to rounding.

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MetaLR on OncoKB benchmark (positive set not stated), default categorical calls (Chen et al. 2020)

somatic-oncogenicity-20261009-protocol-chen2020-oncokb-default

Aggregation: Not reported

Comprehensive assessment of computational algorithms in predicting cancer driver mutations; Chen et al. 2020, Additional file 10: Performance metrics of 17 algorithms, default categories, benchmark 2 (OncoKB) · Additional file 10 (sheet 'Additional_file_10'), B15; Algorithm 'MetaLR'; column 'Accuracy (±2σ)'
Configuration: MetaLR (Chen et al. 2020)Protocol: OncoKB benchmark (positive set not stated), default categorical calls (Chen et al. 2020 Additional file 10)
Dataset: OncoKB-annotated somatic missense mutations (oncogenic, likely oncogenic and likely neutral)
0.59 negative-predictive-value
fraction · higher

Uncertainty: Not yet extracted: Printed as 'mean (lower-upper)' under the column header '(±2σ)': per Methods, the mean and two standard deviations over 100 random draws. That is not a confidence interval, and the schema's standard_deviation type would need a standard deviation derived from rounded bounds, so no structured uncertainty is recorded. The printed range is kept in printed_source_cell; every range is symmetric about the mean to rounding.

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MetaLR on OncoKB benchmark (positive set not stated), default categorical calls (Chen et al. 2020)

somatic-oncogenicity-20261009-protocol-chen2020-oncokb-default

Aggregation: Not reported

Comprehensive assessment of computational algorithms in predicting cancer driver mutations; Chen et al. 2020, Additional file 10: Performance metrics of 17 algorithms, default categories, benchmark 2 (OncoKB) · Additional file 10 (sheet 'Additional_file_10'), F15; Algorithm 'MetaLR'; column 'NPV (±2σ)'
Configuration: MetaLR (Chen et al. 2020)Protocol: OncoKB benchmark (positive set not stated), default categorical calls (Chen et al. 2020 Additional file 10)
Dataset: OncoKB-annotated somatic missense mutations (oncogenic, likely oncogenic and likely neutral)
0.56 precision
fraction · higher

Uncertainty: Not yet extracted: Printed as 'mean (lower-upper)' under the column header '(±2σ)': per Methods, the mean and two standard deviations over 100 random draws. That is not a confidence interval, and the schema's standard_deviation type would need a standard deviation derived from rounded bounds, so no structured uncertainty is recorded. The printed range is kept in printed_source_cell; every range is symmetric about the mean to rounding.

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MetaLR on OncoKB benchmark (positive set not stated), default categorical calls (Chen et al. 2020)

somatic-oncogenicity-20261009-protocol-chen2020-oncokb-default

Aggregation: Not reported

Comprehensive assessment of computational algorithms in predicting cancer driver mutations; Chen et al. 2020, Additional file 10: Performance metrics of 17 algorithms, default categories, benchmark 2 (OncoKB) · Additional file 10 (sheet 'Additional_file_10'), E15; Algorithm 'MetaLR'; column 'PPV (±2σ)'
Configuration: MetaLR (Chen et al. 2020)Protocol: OncoKB benchmark (positive set not stated), default categorical calls (Chen et al. 2020 Additional file 10)
Dataset: OncoKB-annotated somatic missense mutations (oncogenic, likely oncogenic and likely neutral)
0.67 recall
fraction · higher

Uncertainty: Not yet extracted: Printed as 'mean (lower-upper)' under the column header '(±2σ)': per Methods, the mean and two standard deviations over 100 random draws. That is not a confidence interval, and the schema's standard_deviation type would need a standard deviation derived from rounded bounds, so no structured uncertainty is recorded. The printed range is kept in printed_source_cell; every range is symmetric about the mean to rounding.

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MetaLR on OncoKB benchmark (positive set not stated), default categorical calls (Chen et al. 2020)

somatic-oncogenicity-20261009-protocol-chen2020-oncokb-default

Aggregation: Not reported

Comprehensive assessment of computational algorithms in predicting cancer driver mutations; Chen et al. 2020, Additional file 10: Performance metrics of 17 algorithms, default categories, benchmark 2 (OncoKB) · Additional file 10 (sheet 'Additional_file_10'), C15; Algorithm 'MetaLR'; column 'Sensitivity (±2σ)'
Configuration: MetaLR (Chen et al. 2020)Protocol: OncoKB benchmark (positive set not stated), default categorical calls (Chen et al. 2020 Additional file 10)
Dataset: OncoKB-annotated somatic missense mutations (oncogenic, likely oncogenic and likely neutral)
0.47 specificity
fraction · higher

Uncertainty: Not yet extracted: Printed as 'mean (lower-upper)' under the column header '(±2σ)': per Methods, the mean and two standard deviations over 100 random draws. That is not a confidence interval, and the schema's standard_deviation type would need a standard deviation derived from rounded bounds, so no structured uncertainty is recorded. The printed range is kept in printed_source_cell; every range is symmetric about the mean to rounding.

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MetaLR on OncoKB benchmark (positive set not stated), default categorical calls (Chen et al. 2020)

somatic-oncogenicity-20261009-protocol-chen2020-oncokb-default

Aggregation: Not reported

Comprehensive assessment of computational algorithms in predicting cancer driver mutations; Chen et al. 2020, Additional file 10: Performance metrics of 17 algorithms, default categories, benchmark 2 (OncoKB) · Additional file 10 (sheet 'Additional_file_10'), D15; Algorithm 'MetaLR'; column 'Specificity (±2σ)'

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

Evaluation procedure

somatic-oncogenicity-20261009-protocol-chen2020-oncokb-default

Configuration
MetaLR (Chen et al. 2020)
Protocol
OncoKB benchmark (positive set not stated), default categorical calls (Chen et al. 2020 Additional file 10)
Dataset
OncoKB-annotated somatic missense mutations (oncogenic, likely oncogenic and likely neutral)
origin
Independent external evaluation
configuration
Primary source as retrieved 2026-10-09
protocol id
somatic-oncogenicity-20261009-protocol-chen2020-oncokb-default
dataset version
Not reported
split
100 random draws of 400 positives and 400 negatives
population
400 positives and 400 negatives per draw
inputs
Missense SNV scores
adaptation
Not reported
metric implementation
reportROC (R)
aggregation
Mean over 100 draws
budget
Not reported

Metadata review: source checked. Unreported conditions prevent automatic comparisons.

Reproduction

Split
100 random draws of 400 positives and 400 negatives
Adaptation
Not reported
Scoring implementation
reportROC (R)

No execution recipe has been verified for this exact configuration and evaluation. A benchmark's general instructions may use different inputs, splits or model settings.

Reproducing this published result requires matching its model configuration, data, split and scorer. Source checking or a successful smoke test does not establish score reproduction.

Evidence

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Evidence table

Inspect claims, sources and review details

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

36 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.comparison.adaptation
Not reported
Context-only references
Comprehensive assessment of computational algorithms in predicting cancer driver mutations

Original source ↗

Additional file 10, row 15 ('MetaLR')

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

Version: Genome Biology 21:43, published 2020-02-20; PMC7033911 full-text XML
Retrieved: 2026-10-09T20:45:50Z

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.adaptation

Source artifact SHA-256: fef52f70c3a0ff3f82902f87080933c220e12274787de6309b41ee283daf8b8e

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

Inspected artifact

attributes.comparison.adaptation
Not reported
Context-only references
Chen et al. 2020, Additional file 10: Performance metrics of 17 algorithms, default categories, benchmark 2 (OncoKB)

Original source ↗

Additional file 10, row 15 ('MetaLR')

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

Version: 13059_2020_1954_MOESM10_ESM.xlsx
Retrieved: 2026-10-09T20:46:14Z

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.adaptation

Source artifact SHA-256: b9c41136f45b38533312baa4abfe2923390861c4e49d4d91c6d0275a85222294

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

Inspected artifact

attributes.comparison.aggregation
Mean over 100 draws
Context-only references
Comprehensive assessment of computational algorithms in predicting cancer driver mutations

Original source ↗

Additional file 10, row 15 ('MetaLR')

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

Version: Genome Biology 21:43, published 2020-02-20; PMC7033911 full-text XML
Retrieved: 2026-10-09T20:45:50Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.aggregation

Source artifact SHA-256: fef52f70c3a0ff3f82902f87080933c220e12274787de6309b41ee283daf8b8e

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

Inspected artifact

attributes.comparison.aggregation
Mean over 100 draws
Context-only references
Chen et al. 2020, Additional file 10: Performance metrics of 17 algorithms, default categories, benchmark 2 (OncoKB)

Original source ↗

Additional file 10, row 15 ('MetaLR')

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

Version: 13059_2020_1954_MOESM10_ESM.xlsx
Retrieved: 2026-10-09T20:46:14Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.aggregation

Source artifact SHA-256: b9c41136f45b38533312baa4abfe2923390861c4e49d4d91c6d0275a85222294

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

Inspected artifact

attributes.comparison.budget
Not reported
Context-only references
Comprehensive assessment of computational algorithms in predicting cancer driver mutations

Original source ↗

Additional file 10, row 15 ('MetaLR')

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

Version: Genome Biology 21:43, published 2020-02-20; PMC7033911 full-text XML
Retrieved: 2026-10-09T20:45:50Z

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.budget

Source artifact SHA-256: fef52f70c3a0ff3f82902f87080933c220e12274787de6309b41ee283daf8b8e

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

Inspected artifact

attributes.comparison.budget
Not reported
Context-only references
Chen et al. 2020, Additional file 10: Performance metrics of 17 algorithms, default categories, benchmark 2 (OncoKB)

Original source ↗

Additional file 10, row 15 ('MetaLR')

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

Version: 13059_2020_1954_MOESM10_ESM.xlsx
Retrieved: 2026-10-09T20:46:14Z

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.budget

Source artifact SHA-256: b9c41136f45b38533312baa4abfe2923390861c4e49d4d91c6d0275a85222294

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

Inspected artifact

attributes.comparison.dataset_version
Not reported
Context-only references
Comprehensive assessment of computational algorithms in predicting cancer driver mutations

Original source ↗

Additional file 10, row 15 ('MetaLR')

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

Version: Genome Biology 21:43, published 2020-02-20; PMC7033911 full-text XML
Retrieved: 2026-10-09T20:45:50Z

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.dataset_version

Source artifact SHA-256: fef52f70c3a0ff3f82902f87080933c220e12274787de6309b41ee283daf8b8e

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

Inspected artifact

attributes.comparison.dataset_version
Not reported
Context-only references
Chen et al. 2020, Additional file 10: Performance metrics of 17 algorithms, default categories, benchmark 2 (OncoKB)

Original source ↗

Additional file 10, row 15 ('MetaLR')

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

Version: 13059_2020_1954_MOESM10_ESM.xlsx
Retrieved: 2026-10-09T20:46:14Z

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.dataset_version

Source artifact SHA-256: b9c41136f45b38533312baa4abfe2923390861c4e49d4d91c6d0275a85222294

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

Inspected artifact

attributes.comparison.inputs
Missense SNV scores
Context-only references
Comprehensive assessment of computational algorithms in predicting cancer driver mutations

Original source ↗

Additional file 10, row 15 ('MetaLR')

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

Version: Genome Biology 21:43, published 2020-02-20; PMC7033911 full-text XML
Retrieved: 2026-10-09T20:45:50Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.inputs

Source artifact SHA-256: fef52f70c3a0ff3f82902f87080933c220e12274787de6309b41ee283daf8b8e

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

Inspected artifact

attributes.comparison.inputs
Missense SNV scores
Context-only references
Chen et al. 2020, Additional file 10: Performance metrics of 17 algorithms, default categories, benchmark 2 (OncoKB)

Original source ↗

Additional file 10, row 15 ('MetaLR')

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

Version: 13059_2020_1954_MOESM10_ESM.xlsx
Retrieved: 2026-10-09T20:46:14Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.inputs

Source artifact SHA-256: b9c41136f45b38533312baa4abfe2923390861c4e49d4d91c6d0275a85222294

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-eval-chen2020-metalr-oncokb-default

areas
dna-genomes
contexts
clinical_research
origin
independent_paper
protocol
somatic-oncogenicity-20261009-protocol-chen2020-oncokb-default
version
Primary source as retrieved 2026-10-09
comparison
protocol id: somatic-oncogenicity-20261009-protocol-chen2020-oncokb-default; dataset version: Not reported; split: 100 random draws of 400 positives and 400 negatives; population: 400 positives and 400 negatives per draw; inputs: Missense SNV scores; adaptation: Not reported; metric implementation: reportROC (R); aggregation: Mean over 100 draws; budget: Not reported
source locator
Additional file 10, row 15 ('MetaLR')
missing metadata
comparison.dataset version: reason: unreported
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