rewirebio.iobenchmarks
Evaluation

CelFiE tumour-fraction LoD (RRBS-CL)

Published comparison; transcribed, not reproduced.

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Release 2026-10-09-8cc1db47c7f9 · Evidence verified: Not verified

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Evaluation results

1 evaluation · 6 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: CelFiE (DecoNFlow benchmark)Protocol: DecoNFlow RRBS-CL tumour-fraction limit of detection
Dataset: DecoNFlow benchmark RRBS-CL in silico mixtures
0.001 limit-of-detection
fraction · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

CelFiE tumour-fraction LoD (RRBS-CL)

ctdnameth-20261009-protocol-giuili2025-rrbs-cl-tumour-fraction-lod

Aggregation: Not reported

A benchmark of DNA methylation deconvolution methods for tumoral fraction estimation using DecoNFlow; Giuili et al. 2025, Supplementary Table 3 (median limit of detection) · Supplementary Table 3 sheet A, M3; row 'CelFiE'; column '10M' under 'RRBS-CL'
Configuration: CelFiE (DecoNFlow benchmark)Protocol: DecoNFlow RRBS-CL tumour-fraction limit of detection
Dataset: DecoNFlow benchmark RRBS-CL in silico mixtures
0.001 limit-of-detection
fraction · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

CelFiE tumour-fraction LoD (RRBS-CL)

ctdnameth-20261009-protocol-giuili2025-rrbs-cl-tumour-fraction-lod

Aggregation: Not reported

A benchmark of DNA methylation deconvolution methods for tumoral fraction estimation using DecoNFlow; Giuili et al. 2025, Supplementary Table 3 (median limit of detection) · Supplementary Table 3 sheet A, N3; row 'CelFiE'; column '15M' under 'RRBS-CL'
Configuration: CelFiE (DecoNFlow benchmark)Protocol: DecoNFlow RRBS-CL tumour-fraction limit of detection
Dataset: DecoNFlow benchmark RRBS-CL in silico mixtures
0.001 limit-of-detection
fraction · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

CelFiE tumour-fraction LoD (RRBS-CL)

ctdnameth-20261009-protocol-giuili2025-rrbs-cl-tumour-fraction-lod

Aggregation: Not reported

A benchmark of DNA methylation deconvolution methods for tumoral fraction estimation using DecoNFlow; Giuili et al. 2025, Supplementary Table 3 (median limit of detection) · Supplementary Table 3 sheet A, O3; row 'CelFiE'; column '20M' under 'RRBS-CL'
Configuration: CelFiE (DecoNFlow benchmark)Protocol: DecoNFlow RRBS-CL tumour-fraction limit of detection
Dataset: DecoNFlow benchmark RRBS-CL in silico mixtures
0.0010* limit-of-detection
fraction · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

CelFiE tumour-fraction LoD (RRBS-CL)

ctdnameth-20261009-protocol-giuili2025-rrbs-cl-tumour-fraction-lod

Aggregation: Not reported

A benchmark of DNA methylation deconvolution methods for tumoral fraction estimation using DecoNFlow; Giuili et al. 2025, Supplementary Table 3 (median limit of detection) · Supplementary Table 3 sheet A, K3; row 'CelFiE'; column '2M' under 'RRBS-CL'
Configuration: CelFiE (DecoNFlow benchmark)Protocol: DecoNFlow RRBS-CL tumour-fraction limit of detection
Dataset: DecoNFlow benchmark RRBS-CL in silico mixtures
0.001 limit-of-detection
fraction · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

CelFiE tumour-fraction LoD (RRBS-CL)

ctdnameth-20261009-protocol-giuili2025-rrbs-cl-tumour-fraction-lod

Aggregation: Not reported

A benchmark of DNA methylation deconvolution methods for tumoral fraction estimation using DecoNFlow; Giuili et al. 2025, Supplementary Table 3 (median limit of detection) · Supplementary Table 3 sheet A, L3; row 'CelFiE'; column '5M' under 'RRBS-CL'
Configuration: CelFiE (DecoNFlow benchmark)Protocol: DecoNFlow RRBS-CL tumour-fraction limit of detection
Dataset: DecoNFlow benchmark RRBS-CL in silico mixtures
0.001 limit-of-detection
fraction · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

CelFiE tumour-fraction LoD (RRBS-CL)

ctdnameth-20261009-protocol-giuili2025-rrbs-cl-tumour-fraction-lod

Aggregation: Not reported

A benchmark of DNA methylation deconvolution methods for tumoral fraction estimation using DecoNFlow; Giuili et al. 2025, Supplementary Table 3 (median limit of detection) · Supplementary Table 3 sheet B, D4; row 'CelFiE'; column 'RRBS-CL'

Source checking is not independent reproduction. Release 2026-10-09-8cc1db47c7f9.

Evaluation procedure

ctdnameth-20261009-protocol-giuili2025-rrbs-cl-tumour-fraction-lod

Configuration
CelFiE (DecoNFlow benchmark)
Protocol
DecoNFlow RRBS-CL tumour-fraction limit of detection
Dataset
DecoNFlow benchmark RRBS-CL in silico mixtures
origin
Independent external evaluation
configuration
Primary source as retrieved 2026-10-09
protocol id
ctdnameth-20261009-protocol-giuili2025-rrbs-cl-tumour-fraction-lod
dataset version
bioRxiv version 1 mixtures
split
Five depths (2M, 5M, 10M, 15M, 20M aligned reads), tumour fractions from 0.01% to 50% plus 0%, ten replicates each
population
440 cfRRBS in silico mixtures: reads from neuroblastoma cell line CLB-GA artificial cfDNA mixed into healthy plasma cfDNA reads
inputs
Aligned bisulfite reads of each mixture; reference DMR matrix from three DMR tools
adaptation
Not reported
metric implementation
Lowest tumour fraction at which the estimated fractions of the ten replicates are significantly higher than those of 0% tumour samples (one-tailed unpaired Mann-Whitney U test, Benjamini-Hochberg adjusted p < 0.01), moving from higher to lower fractions
aggregation
Median over combinations at each sequencing depth (sheet A) and overall per dataset (sheet B)
budget
Not reported

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

Reproduction

Split
Five depths (2M, 5M, 10M, 15M, 20M aligned reads), tumour fractions from 0.01% to 50% plus 0%, ten replicates each
Adaptation
Not reported
Scoring implementation
Lowest tumour fraction at which the estimated fractions of the ten replicates are significantly higher than those of 0% tumour samples (one-tailed unpaired Mann-Whitney U test, Benjamini-Hochberg adjusted p < 0.01), moving from higher to lower fractions

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

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.

38 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-09-8cc1db47c7f9
Property and statementOriginal source and locationReview and provenance
attributes.comparison.adaptation
Not reported
Context-only references
A benchmark of DNA methylation deconvolution methods for tumoral fraction estimation using DecoNFlow

Original source ↗

Supplementary Table 3 sheet A row 3 columns K-O; sheet B cell D4

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

Version: bioRxiv preprint version 1, posted 2025-11-27; not peer reviewed
Retrieved: 2026-10-09T19:55:30Z

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.adaptation

Source artifact SHA-256: 1893cc9932e752a7575640dce585d5b3e3846f90626a564340c006437990adc7

Hash scope: Not reproducible by re-download: bioRxiv rewrites the PDF on each download (ModDate and XMP dates set to the download time). A copy retrieved 2026-10-09T20:21:09Z has the same length (7,728,127 bytes) and SHA-256 fa7bcf8c25532f86dc99ed7d76a13a49ae70e29ab9f46559b3e0972e86aa9b96; resetting its three date stamps to any time on that day does not give the pinned hash, so another per-download field also differs. No result value is taken from this PDF.

Inspected artifact

attributes.comparison.adaptation
Not reported
Context-only references
Giuili et al. 2025, Supplementary Table 3 (median limit of detection)

Original source ↗

Supplementary Table 3 sheet A row 3 columns K-O; sheet B cell D4

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

Version: bioRxiv version 1 supplementary file media-5.xlsx
Retrieved: 2026-10-09T19:56:05Z

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.adaptation

Source artifact SHA-256: c585f11e0b128705d8c224fc8551b3f1c2efe52fa568c0e0dc96e37abaaced32

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

Inspected artifact

attributes.comparison.aggregation
Median over combinations at each sequencing depth (sheet A) and overall per dataset (sheet B)
Context-only references
A benchmark of DNA methylation deconvolution methods for tumoral fraction estimation using DecoNFlow

Original source ↗

Supplementary Table 3 sheet A row 3 columns K-O; sheet B cell D4

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

Version: bioRxiv preprint version 1, posted 2025-11-27; not peer reviewed
Retrieved: 2026-10-09T19:55:30Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.aggregation

Source artifact SHA-256: 1893cc9932e752a7575640dce585d5b3e3846f90626a564340c006437990adc7

Hash scope: Not reproducible by re-download: bioRxiv rewrites the PDF on each download (ModDate and XMP dates set to the download time). A copy retrieved 2026-10-09T20:21:09Z has the same length (7,728,127 bytes) and SHA-256 fa7bcf8c25532f86dc99ed7d76a13a49ae70e29ab9f46559b3e0972e86aa9b96; resetting its three date stamps to any time on that day does not give the pinned hash, so another per-download field also differs. No result value is taken from this PDF.

Inspected artifact

attributes.comparison.aggregation
Median over combinations at each sequencing depth (sheet A) and overall per dataset (sheet B)
Context-only references
Giuili et al. 2025, Supplementary Table 3 (median limit of detection)

Original source ↗

Supplementary Table 3 sheet A row 3 columns K-O; sheet B cell D4

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

Version: bioRxiv version 1 supplementary file media-5.xlsx
Retrieved: 2026-10-09T19:56:05Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.aggregation

Source artifact SHA-256: c585f11e0b128705d8c224fc8551b3f1c2efe52fa568c0e0dc96e37abaaced32

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

Inspected artifact

attributes.comparison.budget
Not reported
Context-only references
A benchmark of DNA methylation deconvolution methods for tumoral fraction estimation using DecoNFlow

Original source ↗

Supplementary Table 3 sheet A row 3 columns K-O; sheet B cell D4

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

Version: bioRxiv preprint version 1, posted 2025-11-27; not peer reviewed
Retrieved: 2026-10-09T19:55:30Z

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.budget

Source artifact SHA-256: 1893cc9932e752a7575640dce585d5b3e3846f90626a564340c006437990adc7

Hash scope: Not reproducible by re-download: bioRxiv rewrites the PDF on each download (ModDate and XMP dates set to the download time). A copy retrieved 2026-10-09T20:21:09Z has the same length (7,728,127 bytes) and SHA-256 fa7bcf8c25532f86dc99ed7d76a13a49ae70e29ab9f46559b3e0972e86aa9b96; resetting its three date stamps to any time on that day does not give the pinned hash, so another per-download field also differs. No result value is taken from this PDF.

Inspected artifact

attributes.comparison.budget
Not reported
Context-only references
Giuili et al. 2025, Supplementary Table 3 (median limit of detection)

Original source ↗

Supplementary Table 3 sheet A row 3 columns K-O; sheet B cell D4

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

Version: bioRxiv version 1 supplementary file media-5.xlsx
Retrieved: 2026-10-09T19:56:05Z

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.budget

Source artifact SHA-256: c585f11e0b128705d8c224fc8551b3f1c2efe52fa568c0e0dc96e37abaaced32

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

Inspected artifact

attributes.comparison.dataset_version
bioRxiv version 1 mixtures
Context-only references
A benchmark of DNA methylation deconvolution methods for tumoral fraction estimation using DecoNFlow

Original source ↗

Supplementary Table 3 sheet A row 3 columns K-O; sheet B cell D4

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

Version: bioRxiv preprint version 1, posted 2025-11-27; not peer reviewed
Retrieved: 2026-10-09T19:55:30Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.dataset_version

Source artifact SHA-256: 1893cc9932e752a7575640dce585d5b3e3846f90626a564340c006437990adc7

Hash scope: Not reproducible by re-download: bioRxiv rewrites the PDF on each download (ModDate and XMP dates set to the download time). A copy retrieved 2026-10-09T20:21:09Z has the same length (7,728,127 bytes) and SHA-256 fa7bcf8c25532f86dc99ed7d76a13a49ae70e29ab9f46559b3e0972e86aa9b96; resetting its three date stamps to any time on that day does not give the pinned hash, so another per-download field also differs. No result value is taken from this PDF.

Inspected artifact

attributes.comparison.dataset_version
bioRxiv version 1 mixtures
Context-only references
Giuili et al. 2025, Supplementary Table 3 (median limit of detection)

Original source ↗

Supplementary Table 3 sheet A row 3 columns K-O; sheet B cell D4

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

Version: bioRxiv version 1 supplementary file media-5.xlsx
Retrieved: 2026-10-09T19:56:05Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.dataset_version

Source artifact SHA-256: c585f11e0b128705d8c224fc8551b3f1c2efe52fa568c0e0dc96e37abaaced32

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

Inspected artifact

attributes.comparison.inputs
Aligned bisulfite reads of each mixture; reference DMR matrix from three DMR tools
Context-only references
A benchmark of DNA methylation deconvolution methods for tumoral fraction estimation using DecoNFlow

Original source ↗

Supplementary Table 3 sheet A row 3 columns K-O; sheet B cell D4

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

Version: bioRxiv preprint version 1, posted 2025-11-27; not peer reviewed
Retrieved: 2026-10-09T19:55:30Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.inputs

Source artifact SHA-256: 1893cc9932e752a7575640dce585d5b3e3846f90626a564340c006437990adc7

Hash scope: Not reproducible by re-download: bioRxiv rewrites the PDF on each download (ModDate and XMP dates set to the download time). A copy retrieved 2026-10-09T20:21:09Z has the same length (7,728,127 bytes) and SHA-256 fa7bcf8c25532f86dc99ed7d76a13a49ae70e29ab9f46559b3e0972e86aa9b96; resetting its three date stamps to any time on that day does not give the pinned hash, so another per-download field also differs. No result value is taken from this PDF.

Inspected artifact

attributes.comparison.inputs
Aligned bisulfite reads of each mixture; reference DMR matrix from three DMR tools
Context-only references
Giuili et al. 2025, Supplementary Table 3 (median limit of detection)

Original source ↗

Supplementary Table 3 sheet A row 3 columns K-O; sheet B cell D4

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

Version: bioRxiv version 1 supplementary file media-5.xlsx
Retrieved: 2026-10-09T19:56:05Z

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.inputs

Source artifact SHA-256: c585f11e0b128705d8c224fc8551b3f1c2efe52fa568c0e0dc96e37abaaced32

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

Inspected artifact

Sources and history

Release 2026-10-09-8cc1db47c7f9 · Record review: source checked

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

Stable ID: ctdnameth-20261009-eval-giuili2025-celfie-rrbs-cl

areas
dna-genomes
contexts
research
origin
independent_paper
protocol
ctdnameth-20261009-protocol-giuili2025-rrbs-cl-tumour-fraction-lod
version
Primary source as retrieved 2026-10-09
comparison
protocol id: ctdnameth-20261009-protocol-giuili2025-rrbs-cl-tumour-fraction-lod; dataset version: bioRxiv version 1 mixtures; split: Five depths (2M, 5M, 10M, 15M, 20M aligned reads), tumour fractions from 0.01% to 50% plus 0%, ten replicates each; population: 440 cfRRBS in silico mixtures: reads from neuroblastoma cell line CLB-GA artificial cfDNA mixed into healthy plasma cfDNA reads; inputs: Aligned bisulfite reads of each mixture; reference DMR matrix from three DMR tools; adaptation: Not reported; metric implementation: Lowest tumour fraction at which the estimated fractions of the ten replicates are significantly higher than those of 0% tumour samples (one-tailed unpaired Mann-Whitney U test, Benjamini-Hochberg adjusted p < 0.01), moving from higher to lower fractions; aggregation: Median over combinations at each sequencing depth (sheet A) and overall per dataset (sheet B); budget: Not reported
source locator
Supplementary Table 3 sheet A row 3 columns K-O; sheet B cell D4
limitations
Tool run by the benchmark authors inside DecoNFlow containers; the tool is cited to an earlier publication, not introduced in this preprint.
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