rewirebio.iobenchmarks
Dataset

Jiang et al. 2018 plasma WGS, 90 liver cancer and 135 non-cancer (as used by Hou et al. 2024)

Plasma cfDNA whole-genome sequencing cohort reanalysed by Hou et al. 2024.

Research readiness

These checks assess whether the evidence supports a reproducible investigation. A source-checked score alone does not meet these requirements.

Release 2026-10-09-ba02f2f4a36e · Evidence verified: Not verified

Evidence incomplete

Replay metrics

Exact outcomes, predictions, identifiers and evaluator are connected.

Missing or unresolved evidence

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Verified: Not verified

Evidence incomplete

Investigate discrepancies

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Missing or unresolved evidence

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  • annotations: verification is missing
  • dependence: verification is missing

Verified: Not verified

Evidence incomplete

Run locally

A pinned recipe describes the inputs, environment and resource requirements.

Missing or unresolved evidence

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Verified: Not verified

Evidence incomplete

Validate independently

Separate data and exposure records support an independent test.

Missing or unresolved evidence

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Verified: Not verified

Readiness describes the evidence in this release. Availability on your computer is checked separately when an investigation runs. Existing data exposure can prevent independent validation even when files are available.

Artifacts and reproduction

No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.

Read reviewed discrepancy investigations

Evaluation results

10 evaluations · 10 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 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 2026-10-09-ba02f2f4a36e.

Dataset and evaluation context

A dataset supplies biological observations. The evaluation protocol defines how those observations are split, used and scored.

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.

8 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-09-ba02f2f4a36e
Property and statementOriginal source and locationReview and provenance
attributes.assay
Plasma cfDNA whole-genome sequencing
Context-only references
Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns

Original source ↗

Hou et al. 2024 Experimental Section 'Cell-Free DNA Whole Genome Sequencing Data and Preprocessing' (P24-P25)

Version: Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML
Retrieved: 2026-10-09T20:27:02Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.assay

Source artifact SHA-256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70

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

Inspected artifact

attributes.population
225 samples: 32 healthy, 67 hepatitis B, 36 cirrhosis and 90 liver cancer; fragment files from FinaleDB
Context-only references
Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns

Original source ↗

Hou et al. 2024 Experimental Section 'Cell-Free DNA Whole Genome Sequencing Data and Preprocessing' (P24-P25)

Version: Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML
Retrieved: 2026-10-09T20:27:02Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.population

Source artifact SHA-256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70

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

Inspected artifact

attributes.scope_note
Hou et al. cite Jiang et al. 2018 (ref 59). Wang et al. 2026 Data file S1 (sheet s3) lists FinaleDB data with the same composition (225: 32 healthy, 67 hepatitis B, 36 cirrhosis, 90 hepatocellular carcinoma) as 'Jiang et al, 2015' and draws 86 of them into the UNITE cross-validation set.
Context-only references
Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns

Original source ↗

Hou et al. 2024 Experimental Section 'Cell-Free DNA Whole Genome Sequencing Data and Preprocessing' (P24-P25)

Version: Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML
Retrieved: 2026-10-09T20:27:02Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.scope_note

Source artifact SHA-256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70

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

Inspected artifact

attributes.source_locator
Hou et al. 2024 Experimental Section 'Cell-Free DNA Whole Genome Sequencing Data and Preprocessing' (P24-P25)
Context-only references
Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns

Original source ↗

Hou et al. 2024 Experimental Section 'Cell-Free DNA Whole Genome Sequencing Data and Preprocessing' (P24-P25)

Version: Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML
Retrieved: 2026-10-09T20:27:02Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.source_locator

Source artifact SHA-256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70

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

Inspected artifact

attributes.total
225
Context-only references
Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns

Original source ↗

Hou et al. 2024 Experimental Section 'Cell-Free DNA Whole Genome Sequencing Data and Preprocessing' (P24-P25)

Version: Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML
Retrieved: 2026-10-09T20:27:02Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.total

Source artifact SHA-256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70

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

Inspected artifact

attributes.version
As reanalysed by Hou et al. 2024 (GRCh37)
Context-only references
Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns

Original source ↗

Hou et al. 2024 Experimental Section 'Cell-Free DNA Whole Genome Sequencing Data and Preprocessing' (P24-P25)

Version: Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML
Retrieved: 2026-10-09T20:27:02Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.version

Source artifact SHA-256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70

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

Inspected artifact

description
Plasma cfDNA whole-genome sequencing cohort reanalysed by Hou et al. 2024.
Context-only references
Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns

Original source ↗

Hou et al. 2024 Experimental Section 'Cell-Free DNA Whole Genome Sequencing Data and Preprocessing' (P24-P25)

Version: Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML
Retrieved: 2026-10-09T20:27:02Z

not individually reviewed

No individual claim review recorded

Audit details

Field: description

Source artifact SHA-256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70

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

Inspected artifact

name
Jiang et al. 2018 plasma WGS, 90 liver cancer and 135 non-cancer (as used by Hou et al. 2024)
Context-only references
Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns

Original source ↗

Hou et al. 2024 Experimental Section 'Cell-Free DNA Whole Genome Sequencing Data and Preprocessing' (P24-P25)

Version: Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML
Retrieved: 2026-10-09T20:27:02Z

not individually reviewed

No individual claim review recorded

Audit details

Field: name

Source artifact SHA-256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70

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

Inspected artifact

Sources and history

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

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

Stable ID: ctdnafrag-20261009-data-hou2024-jiang2018-lihc

areas
dna-genomes
contexts
clinical_research
version
As reanalysed by Hou et al. 2024 (GRCh37)
population
225 samples: 32 healthy, 67 hepatitis B, 36 cirrhosis and 90 liver cancer; fragment files from FinaleDB
total
225
assay
Plasma cfDNA whole-genome sequencing
source locator
Hou et al. 2024 Experimental Section 'Cell-Free DNA Whole Genome Sequencing Data and Preprocessing' (P24-P25)
scope note
Hou et al. cite Jiang et al. 2018 (ref 59). Wang et al. 2026 Data file S1 (sheet s3) lists FinaleDB data with the same composition (225: 32 healthy, 67 hepatitis B, 36 cirrhosis, 90 hepatocellular carcinoma) as 'Jiang et al, 2015' and draws 86 of them into the UNITE cross-validation set.
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