rewirebio.iobenchmarks
Protocol

Hou et al. 2024 Jiang cohort cross-validation, liver cancer (Table S2)

Fragmentation pattern comparison by Hou et al. 2024.

10 evaluations · 10 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, 10 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.

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Results

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

All evaluations

10 evaluations · 10 results. Different protocols are not a single leaderboard.

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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 Jiang cohort cross-validation, liver cancer (Table S2)
Dataset: Jiang et al. 2018 plasma WGS, 90 liver cancer and 135 non-cancer (as used by Hou et al. 2024)
0.994 auroc
unitless · higher

Uncertainty: 95% CI 0.9925 to 0.9963

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

EDM (open chromatin), Jiang cohort liver cancer cross-validation

ctdnafrag-20261009-protocol-hou2024-jiang-lihc-cv-sensitivity

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 S2, C92; group 'LIHC'; row 'EDM'; column 'AUC'
Configuration: Fragment coverage (fragment midpoint counts), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Jiang cohort cross-validation, liver cancer (Table S2)
Dataset: Jiang et al. 2018 plasma WGS, 90 liver cancer and 135 non-cancer (as used by Hou et al. 2024)
0.943 auroc
unitless · higher

Uncertainty: 95% CI 0.9315 to 0.9542

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (open chromatin), Jiang cohort liver cancer cross-validation

ctdnafrag-20261009-protocol-hou2024-jiang-lihc-cv-sensitivity

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 S2, C87; group 'LIHC'; row 'coverage'; column 'AUC'
Configuration: Fragment endpoint counts, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Jiang cohort cross-validation, liver cancer (Table S2)
Dataset: Jiang et al. 2018 plasma WGS, 90 liver cancer and 135 non-cancer (as used by Hou et al. 2024)
0.966 auroc
unitless · higher

Uncertainty: 95% CI 0.9580 to 0.9748

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (open chromatin), Jiang cohort liver cancer cross-validation

ctdnafrag-20261009-protocol-hou2024-jiang-lihc-cv-sensitivity

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 S2, C88; group 'LIHC'; row 'end'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Jiang cohort cross-validation, liver cancer (Table S2)
Dataset: Jiang et al. 2018 plasma WGS, 90 liver cancer and 135 non-cancer (as used by Hou et al. 2024)
0.836 auroc
unitless · higher

Uncertainty: 95% CI 0.8163 to 0.8547

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Jiang cohort liver cancer cross-validation

ctdnafrag-20261009-protocol-hou2024-jiang-lihc-cv-sensitivity

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 S2, C83; group 'LIHC'; row 'length'; column 'AUC'
Configuration: Fragment size distribution (FSD), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Jiang cohort cross-validation, liver cancer (Table S2)
Dataset: Jiang et al. 2018 plasma WGS, 90 liver cancer and 135 non-cancer (as used by Hou et al. 2024)
0.903 auroc
unitless · higher

Uncertainty: 95% CI 0.8895 to 0.9165

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

FSD (open chromatin), Jiang cohort liver cancer cross-validation

ctdnafrag-20261009-protocol-hou2024-jiang-lihc-cv-sensitivity

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 S2, C86; group 'LIHC'; row 'FSD'; column 'AUC'
Configuration: Fragment size ratio (FSR), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Jiang cohort cross-validation, liver cancer (Table S2)
Dataset: Jiang et al. 2018 plasma WGS, 90 liver cancer and 135 non-cancer (as used by Hou et al. 2024)
0.936 auroc
unitless · higher

Uncertainty: 95% CI 0.9263 to 0.9455

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

FSR (open chromatin), Jiang cohort liver cancer cross-validation

ctdnafrag-20261009-protocol-hou2024-jiang-lihc-cv-sensitivity

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 S2, C85; group 'LIHC'; row 'FSR'; column 'AUC'
Configuration: Integrated fragmentation score (IFS), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Jiang cohort cross-validation, liver cancer (Table S2)
Dataset: Jiang et al. 2018 plasma WGS, 90 liver cancer and 135 non-cancer (as used by Hou et al. 2024)
0.944 auroc
unitless · higher

Uncertainty: 95% CI 0.9347 to 0.9537

Coverage: Not reported scored / Not reported eligible

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

IFS (open chromatin), Jiang cohort liver cancer cross-validation

ctdnafrag-20261009-protocol-hou2024-jiang-lihc-cv-sensitivity

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 S2, C90; group 'LIHC'; row 'IFS'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Jiang cohort cross-validation, liver cancer (Table S2)
Dataset: Jiang et al. 2018 plasma WGS, 90 liver cancer and 135 non-cancer (as used by Hou et al. 2024)
0.939 auroc
unitless · higher

Uncertainty: 95% CI 0.9279 to 0.9493

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (open chromatin), Jiang cohort liver cancer cross-validation

ctdnafrag-20261009-protocol-hou2024-jiang-lihc-cv-sensitivity

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 S2, C89; group 'LIHC'; row 'OCF'; column 'AUC'
Configuration: Promoter fragmentation entropy (PFE), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Jiang cohort cross-validation, liver cancer (Table S2)
Dataset: Jiang et al. 2018 plasma WGS, 90 liver cancer and 135 non-cancer (as used by Hou et al. 2024)
0.937 auroc
unitless · higher

Uncertainty: 95% CI 0.9260 to 0.9488

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

PFE (open chromatin), Jiang cohort liver cancer cross-validation

ctdnafrag-20261009-protocol-hou2024-jiang-lihc-cv-sensitivity

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 S2, C84; group 'LIHC'; row 'PFE'; column 'AUC'
Configuration: Windowed protection score (WPS), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Jiang cohort cross-validation, liver cancer (Table S2)
Dataset: Jiang et al. 2018 plasma WGS, 90 liver cancer and 135 non-cancer (as used by Hou et al. 2024)
0.954 auroc
unitless · higher

Uncertainty: 95% CI 0.9442 to 0.9639

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

WPS (open chromatin), Jiang cohort liver cancer cross-validation

ctdnafrag-20261009-protocol-hou2024-jiang-lihc-cv-sensitivity

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 S2, C91; group 'LIHC'; row 'WPS'; column 'AUC'

Source checking is not independent reproduction. Release 2026-10-10-7b8f80935f90.

Methods and evaluation design

Procedure, tasks and evaluated configurations

Recorded evaluations

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Baseline coverage

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Author-reported evaluations
1
External evaluations
9

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Strengths, limitations and unresolved questions

Evidence

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Evidence table

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Claims, original sources and review scope · Release 2026-10-10-7b8f80935f90
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Sources and history

Release 2026-10-10-7b8f80935f90 · Record review: source checked

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Technical metadata and extraction receipts

Stable ID: ctdnafrag-20261009-protocol-hou2024-jiang-lihc-cv-sensitivity

areas
dna-genomes
contexts
clinical_research
protocol
Liver cancer SVM; 10 repeats of 10-fold cross-validation. 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 S2 liver sensitivities are disputed: the 95% and 85% columns are identical in nine rows and 0.0009 apart in the tenth, unlike the liver rows of Tables S7 and S8.; Ten fragmentation patterns restricted to open chromatin regions, one SVM each; no tumour-fraction stratification.; The control group for the LIHC model (healthy only or all non-cancer) is not stated in the table.; 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 S2 rows 83-92; Experimental Section P41, P44, P45
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