Evaluation

length (open chromatin), Cristiano cohort cross-validation

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Evaluation results

1 evaluation · 22 results. Different protocols are not a single leaderboard.

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Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.883 auroc unitless · higher Uncertainty: 95% CI 0.8672 to 0.8984 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, C13; group 'BRCA'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.614 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.5710 to 0.6563 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, E13; group 'BRCA'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.524 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.4791 to 0.5689 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, D13; group 'BRCA'; row 'length'; column 'Sensitivity @95% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.872 auroc unitless · higher Uncertainty: 95% CI 0.8411 to 0.9027 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, C23; group 'CHOL'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.71 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.6526 to 0.7674 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, E23; group 'CHOL'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.667 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.6084 to 0.7249 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, D23; group 'CHOL'; row 'length'; column 'Sensitivity @95% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.97 auroc unitless · higher Uncertainty: 95% CI 0.9614 to 0.9793 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, C33; group 'CRC'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.842 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.7927 to 0.8906 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, E33; group 'CRC'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.752 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.6928 to 0.8106 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, D33; group 'CRC'; row 'length'; column 'Sensitivity @95% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.915 auroc unitless · higher Uncertainty: 95% CI 0.8718 to 0.9575 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, C53; group 'NSCLC'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.84 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.7723 to 0.9077 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, E53; group 'NSCLC'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.73 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.6475 to 0.8125 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, D53; group 'NSCLC'; row 'length'; column 'Sensitivity @95% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.855 auroc unitless · higher Uncertainty: 95% CI 0.8310 to 0.8786 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, C63; group 'OV'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.563 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.5009 to 0.6258 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, E63; group 'OV'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.485 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.4213 to 0.5487 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, D63; group 'OV'; row 'length'; column 'Sensitivity @95% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.942 auroc unitless · higher Uncertainty: 95% CI 0.9278 to 0.9551 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, C73; group 'PAAD'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.808 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.7653 to 0.8513 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, E73; group 'PAAD'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.724 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.6751 to 0.7733 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, D73; group 'PAAD'; row 'length'; column 'Sensitivity @95% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.874 auroc unitless · higher Uncertainty: 95% CI 0.8634 to 0.8848 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, C3; group 'PANCAN'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.827 auroc unitless · higher Uncertainty: 95% CI 0.7986 to 0.8552 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, C43; group 'STAD'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.53 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.4666 to 0.5934 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, E43; group 'STAD'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.388 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.3241 to 0.4525 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-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, D43; group 'STAD'; row 'length'; column 'Sensitivity @95% specificity'

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

Evaluation procedure

ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity

Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)
Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort

origin: Independent external evaluation
configuration: Primary source as retrieved 2026-10-09
protocol id: ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity
dataset version: Cristiano et al. 2019 cohort, fragment files from FinaleDB
split: 10 repeats of 10-fold cross-validation
population: Pan-cancer (208) and each of seven cancer types vs 215 healthy individuals
inputs: length features in open chromatin regions
adaptation: SVM trained per fold and per comparison
metric implementation: Not reported
aggregation: Mean with 95% CI
budget: Not reported

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

Reproduction

Split: 10 repeats of 10-fold cross-validation
Adaptation: SVM trained per fold and per comparison
Scoring implementation: Not reported

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.

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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.

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36 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-10-7b8f80935f90
Property and statement	Original source and location	Review and provenance
attributes.comparison.adaptation SVM trained per fold and per comparison Context-only references	Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns Original source ↗ Supporting Information Table S2, row 'length' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. 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 independent paper Audit details Field: `attributes.comparison.adaptation` Source artifact SHA-256: `d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.adaptation SVM trained per fold and per comparison Context-only references	Hou et al. 2024, Supporting Information workbook (Tables S1-S15) Original source ↗ Supporting Information Table S2, row 'length' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ADVS-11-2308243-s001.xlsx, PMC open-access copy PMC11321639.1 Retrieved: 2026-10-09T20:20:39Z	not individually reviewed No individual claim review recorded independent paper Audit details Field: `attributes.comparison.adaptation` Source artifact SHA-256: `41b24f7e6bcb9bea6127a249127a4c4d53e8ea42b50e95242054791511695fb0` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.aggregation Mean with 95% CI Context-only references	Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns Original source ↗ Supporting Information Table S2, row 'length' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. 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 independent paper Audit details Field: `attributes.comparison.aggregation` Source artifact SHA-256: `d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.aggregation Mean with 95% CI Context-only references	Hou et al. 2024, Supporting Information workbook (Tables S1-S15) Original source ↗ Supporting Information Table S2, row 'length' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ADVS-11-2308243-s001.xlsx, PMC open-access copy PMC11321639.1 Retrieved: 2026-10-09T20:20:39Z	not individually reviewed No individual claim review recorded independent paper Audit details Field: `attributes.comparison.aggregation` Source artifact SHA-256: `41b24f7e6bcb9bea6127a249127a4c4d53e8ea42b50e95242054791511695fb0` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.budget Not reported Context-only references	Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns Original source ↗ Supporting Information Table S2, row 'length' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML Retrieved: 2026-10-09T20:27:02Z	missing or unspecified No individual claim review recorded independent paper Audit details Field: `attributes.comparison.budget` Source artifact SHA-256: `d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.budget Not reported Context-only references	Hou et al. 2024, Supporting Information workbook (Tables S1-S15) Original source ↗ Supporting Information Table S2, row 'length' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ADVS-11-2308243-s001.xlsx, PMC open-access copy PMC11321639.1 Retrieved: 2026-10-09T20:20:39Z	missing or unspecified No individual claim review recorded independent paper Audit details Field: `attributes.comparison.budget` Source artifact SHA-256: `41b24f7e6bcb9bea6127a249127a4c4d53e8ea42b50e95242054791511695fb0` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.dataset_version Cristiano et al. 2019 cohort, 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 ↗ Supporting Information Table S2, row 'length' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. 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 independent paper Audit details Field: `attributes.comparison.dataset_version` Source artifact SHA-256: `d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.dataset_version Cristiano et al. 2019 cohort, fragment files from FinaleDB Context-only references	Hou et al. 2024, Supporting Information workbook (Tables S1-S15) Original source ↗ Supporting Information Table S2, row 'length' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ADVS-11-2308243-s001.xlsx, PMC open-access copy PMC11321639.1 Retrieved: 2026-10-09T20:20:39Z	not individually reviewed No individual claim review recorded independent paper Audit details Field: `attributes.comparison.dataset_version` Source artifact SHA-256: `41b24f7e6bcb9bea6127a249127a4c4d53e8ea42b50e95242054791511695fb0` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.inputs length features in open chromatin regions Context-only references	Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns Original source ↗ Supporting Information Table S2, row 'length' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. 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 independent paper Audit details Field: `attributes.comparison.inputs` Source artifact SHA-256: `d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.inputs length features in open chromatin regions Context-only references	Hou et al. 2024, Supporting Information workbook (Tables S1-S15) Original source ↗ Supporting Information Table S2, row 'length' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ADVS-11-2308243-s001.xlsx, PMC open-access copy PMC11321639.1 Retrieved: 2026-10-09T20:20:39Z	not individually reviewed No individual claim review recorded independent paper Audit details Field: `attributes.comparison.inputs` Source artifact SHA-256: `41b24f7e6bcb9bea6127a249127a4c4d53e8ea42b50e95242054791511695fb0` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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

2 source records and release history

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Original source · Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML
Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Original source · ADVS-11-2308243-s001.xlsx, PMC open-access copy PMC11321639.1

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Technical metadata and extraction receipts

Stable ID: ctdnafrag-20261009-eval-hou2024-s2-fragment-length-cristiano

areas: dna-genomes
contexts: clinical_research
origin: independent_paper
protocol: ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity
version: Primary source as retrieved 2026-10-09
comparison: protocol id: ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity; dataset version: Cristiano et al. 2019 cohort, fragment files from FinaleDB; split: 10 repeats of 10-fold cross-validation; population: Pan-cancer (208) and each of seven cancer types vs 215 healthy individuals; inputs: length features in open chromatin regions; adaptation: SVM trained per fold and per comparison; metric implementation: Not reported; aggregation: Mean with 95% CI; budget: Not reported
source locator: Supporting Information Table S2, row 'length' in each of groups PANCAN to PAAD
missing metadata: comparison.metric implementation: reason: unreported

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