rewirebio.iobenchmarks
Protocol

Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)

Fragmentation pattern comparison by Hou et al. 2024.

10 evaluations · 30 results

Overview

Fragmentation pattern comparison by Hou et al. 2024.

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

10 recorded evaluations, 30 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

10 evaluations · 30 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: Fragment 5' end motif (4-mer), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.535 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

EDM (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, C32; data set 'Mathios et al. independent dataset (LUNG)'; row 'EDM'; column 'AUC'
Configuration: Fragment 5' end motif (4-mer), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.174 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

EDM (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, E32; data set 'Mathios et al. independent dataset (LUNG)'; row 'EDM'; column 'Sensitivity @85% specificity'
Configuration: Fragment 5' end motif (4-mer), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.0652 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

EDM (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, D32; data set 'Mathios et al. independent dataset (LUNG)'; row 'EDM'; column 'Sensitivity @95% specificity'
Configuration: Fragment coverage (fragment midpoint counts), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.84 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

coverage (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, C27; data set 'Mathios et al. independent dataset (LUNG)'; row 'coverage'; column 'AUC'
Configuration: Fragment coverage (fragment midpoint counts), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.652 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, E27; data set 'Mathios et al. independent dataset (LUNG)'; row 'coverage'; column 'Sensitivity @85% specificity'
Configuration: Fragment coverage (fragment midpoint counts), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.457 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, D27; data set 'Mathios et al. independent dataset (LUNG)'; row 'coverage'; column 'Sensitivity @95% specificity'
Configuration: Fragment endpoint counts, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.83 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

end (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, C28; data set 'Mathios et al. independent dataset (LUNG)'; row 'end'; column 'AUC'
Configuration: Fragment endpoint counts, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.696 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, E28; data set 'Mathios et al. independent dataset (LUNG)'; row 'end'; column 'Sensitivity @85% specificity'
Configuration: Fragment endpoint counts, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.522 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, D28; data set 'Mathios et al. independent dataset (LUNG)'; row 'end'; column 'Sensitivity @95% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
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

length (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, C23; data set 'Mathios et al. independent dataset (LUNG)'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.674 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, E23; data set 'Mathios et al. independent dataset (LUNG)'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.478 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, D23; data set 'Mathios et al. independent dataset (LUNG)'; row 'length'; column 'Sensitivity @95% specificity'
Configuration: Fragment size distribution (FSD), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.939 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

FSD (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, C26; data set 'Mathios et al. independent dataset (LUNG)'; row 'FSD'; column 'AUC'
Configuration: Fragment size distribution (FSD), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.848 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

FSD (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, E26; data set 'Mathios et al. independent dataset (LUNG)'; row 'FSD'; column 'Sensitivity @85% specificity'
Configuration: Fragment size distribution (FSD), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.717 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

FSD (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, D26; data set 'Mathios et al. independent dataset (LUNG)'; row 'FSD'; column 'Sensitivity @95% specificity'
Configuration: Fragment size ratio (FSR), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.664 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

FSR (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, C25; data set 'Mathios et al. independent dataset (LUNG)'; row 'FSR'; column 'AUC'
Configuration: Fragment size ratio (FSR), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.5 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

FSR (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, E25; data set 'Mathios et al. independent dataset (LUNG)'; row 'FSR'; column 'Sensitivity @85% specificity'
Configuration: Fragment size ratio (FSR), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.348 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

FSR (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, D25; data set 'Mathios et al. independent dataset (LUNG)'; row 'FSR'; column 'Sensitivity @95% specificity'
Configuration: Integrated fragmentation score (IFS), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.838 auroc
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

IFS (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, C30; data set 'Mathios et al. independent dataset (LUNG)'; row 'IFS'; column 'AUC'
Configuration: Integrated fragmentation score (IFS), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.652 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

IFS (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, E30; data set 'Mathios et al. independent dataset (LUNG)'; row 'IFS'; column 'Sensitivity @85% specificity'
Configuration: Integrated fragmentation score (IFS), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.457 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

IFS (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, D30; data set 'Mathios et al. independent dataset (LUNG)'; row 'IFS'; column 'Sensitivity @95% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
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

OCF (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, C29; data set 'Mathios et al. independent dataset (LUNG)'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.674 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, E29; data set 'Mathios et al. independent dataset (LUNG)'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.522 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, D29; data set 'Mathios et al. independent dataset (LUNG)'; row 'OCF'; column 'Sensitivity @95% specificity'
Configuration: Promoter fragmentation entropy (PFE), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. independent lung cohort (Table S3)
Dataset: Mathios et al. 2021 independent lung cohort, 46 lung cancer and 385 healthy (as used by Hou et al. 2024)
0.81 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

PFE (open chromatin), independent validation on Mathios et al. independent dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-independent

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S3, C24; data set 'Mathios et al. independent dataset (LUNG)'; row 'PFE'; column 'AUC'

Source checking is not independent reproduction. Release 2026-10-09-ba02f2f4a36e.

Methods and evaluation design

Procedure, tasks and evaluated configurations

Recorded evaluations

Each evaluation records what was tested and under which conditions.

Baseline coverage

Reference methods help show what a model adds beyond simple controls. We track a null control and a conventional method for each protocol.

0 of 2 active baseline roles have published Rewire measurements in this release. Measurements on a selected protocol do not establish coverage of an entire suite.

No execution recipe linked to this protocol. Recipe availability does not establish a completed evaluation.

Author-reported evaluations
1
External evaluations
9

Literature evidence is not a Rewire measurement. Executed but unpublished runs and private review status are not included.

Null control

Proposed control: requires review

Select a task-valid null control after reviewing inputs and metric

Protocol-specific applicability, permitted inputs, access, split, evaluator and execution requirements need review before implementation or execution.

This is a suggested selection rule, not a validated method or a measured score.

Conventional reference

Proposed control: requires review

Select an upstream conventional reference after reviewing the full protocol

Protocol-specific applicability, permitted inputs, access, split, evaluator and execution requirements need review before implementation or execution.

This is a suggested selection rule, not a validated method or a measured score.

Protocol coverage CSV (gzip) · Model evaluation matrix (gzip) · Source table (gzip) · Release and checksums (gzip)

Coverage is derived from release 2026-10-09-ba02f2f4a36e. Source citations describe the original records; they do not validate an unreviewed baseline proposal. No results have been generated by this audit.

Run instructions

No runnable recipe has been reviewed for this protocol. Dataset access, model requirements, licences and compute requirements must be checked against its sources before execution.

Strengths, limitations and unresolved questions

Evidence

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Evidence table

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0 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-09-ba02f2f4a36e
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Sources and history

Release 2026-10-09-ba02f2f4a36e · Record review: source checked

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

Stable ID: ctdnafrag-20261009-protocol-hou2024-mathios-independent

areas
dna-genomes
contexts
clinical_research
protocol
SVM trained on Cristiano et al. lung cancer samples and controls, applied to the Mathios et al. independent cohort. Report ROC-AUC and sensitivity at 95% and at 85% specificity.
version
Hou et al. 2024 Supporting Information; Methods P41, P44, P45
metric
auroc
metric direction
higher
limitations
Table S3 sensitivities have no second table to check them against; two blocks of Table S2 in the same file are disputed.; Ten fragmentation patterns restricted to open chromatin regions, one SVM each; no tumour-fraction stratification.; Training set has 12 lung cancer patients.; IFS was defined by Hou et al.'s corresponding author (Zhou et al. 2022, ref 10), so its evaluations are author-reported; the other nine patterns are independent re-implementations.
source locator
Supporting Information Table S3 rows 23-32; Experimental Section P41, P44, P45
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