Evaluation

FSD (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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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: Fragment size distribution (FSD), 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	0.936 auroc unitless · higher Uncertainty: 95% CI 0.9247 to 0.9467 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, C16; group 'BRCA'; row 'FSD'; column 'AUC'
Configuration: Fragment size distribution (FSD), 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	0.786 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.7470 to 0.8244 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, E16; group 'BRCA'; row 'FSD'; column 'Sensitivity @85% specificity'
Configuration: Fragment size distribution (FSD), 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	0.623 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.5738 to 0.6722 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, D16; group 'BRCA'; row 'FSD'; column 'Sensitivity @95% specificity'
Configuration: Fragment size distribution (FSD), 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	0.873 auroc unitless · higher Uncertainty: 95% CI 0.8371 to 0.9080 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, C26; group 'CHOL'; row 'FSD'; column 'AUC'
Configuration: Fragment size distribution (FSD), 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	0.723 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.6624 to 0.7843 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, E26; group 'CHOL'; row 'FSD'; column 'Sensitivity @85% specificity'
Configuration: Fragment size distribution (FSD), 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	0.653 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.5935 to 0.7132 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, D26; group 'CHOL'; row 'FSD'; column 'Sensitivity @95% specificity'
Configuration: Fragment size distribution (FSD), 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	0.982 auroc unitless · higher Uncertainty: 95% CI 0.9749 to 0.9884 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, C36; group 'CRC'; row 'FSD'; column 'AUC'
Configuration: Fragment size distribution (FSD), 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	0.913 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.8748 to 0.9518 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, E36; group 'CRC'; row 'FSD'; column 'Sensitivity @85% specificity'
Configuration: Fragment size distribution (FSD), 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	0.802 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.7505 to 0.8528 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, D36; group 'CRC'; row 'FSD'; column 'Sensitivity @95% specificity'
Configuration: Fragment size distribution (FSD), 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	0.992 auroc unitless · higher Uncertainty: 95% CI 0.9867 to 0.9974 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, C56; group 'NSCLC'; row 'FSD'; column 'AUC'
Configuration: Fragment size distribution (FSD), 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	0.96 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.9242 to 0.9958 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, E56; group 'NSCLC'; row 'FSD'; column 'Sensitivity @85% specificity'
Configuration: Fragment size distribution (FSD), 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	0.91 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.8556 to 0.9644 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, D56; group 'NSCLC'; row 'FSD'; column 'Sensitivity @95% specificity'
Configuration: Fragment size distribution (FSD), 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	0.961 auroc unitless · higher Uncertainty: 95% CI 0.9438 to 0.9775 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, C66; group 'OV'; row 'FSD'; column 'AUC'
Configuration: Fragment size distribution (FSD), 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	0.89 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.8527 to 0.9273 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, E66; group 'OV'; row 'FSD'; column 'Sensitivity @85% specificity'
Configuration: Fragment size distribution (FSD), 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 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.7793 to 0.8740 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, D66; group 'OV'; row 'FSD'; column 'Sensitivity @95% specificity'
Configuration: Fragment size distribution (FSD), 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	0.952 auroc unitless · higher Uncertainty: 95% CI 0.9391 to 0.9653 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, C76; group 'PAAD'; row 'FSD'; column 'AUC'
Configuration: Fragment size distribution (FSD), 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 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.8171 to 0.8929 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, E76; group 'PAAD'; row 'FSD'; column 'Sensitivity @85% specificity'
Configuration: Fragment size distribution (FSD), 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	0.719 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.6726 to 0.7657 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, D76; group 'PAAD'; row 'FSD'; column 'Sensitivity @95% specificity'
Configuration: Fragment size distribution (FSD), 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	0.927 auroc unitless · higher Uncertainty: 95% CI 0.9191 to 0.9351 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, C6; group 'PANCAN'; row 'FSD'; column 'AUC'
Configuration: Fragment size distribution (FSD), 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	0.912 auroc unitless · higher Uncertainty: 95% CI 0.8905 to 0.9343 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, C46; group 'STAD'; row 'FSD'; column 'AUC'
Configuration: Fragment size distribution (FSD), 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	0.767 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.7101 to 0.8232 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, E46; group 'STAD'; row 'FSD'; column 'Sensitivity @85% specificity'
Configuration: Fragment size distribution (FSD), 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	0.592 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.5231 to 0.6602 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (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, D46; group 'STAD'; row 'FSD'; column 'Sensitivity @95% specificity'

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

Evaluation procedure

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

Configuration: Fragment size distribution (FSD), 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: FSD 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 2026-10-09-ba02f2f4a36e
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 'FSD' 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 'FSD' 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 'FSD' 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 'FSD' 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 'FSD' 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 'FSD' 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 'FSD' 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 'FSD' 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 FSD 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 'FSD' 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 FSD 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 'FSD' 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 2026-10-09-ba02f2f4a36e · 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-fsd-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: FSD 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 'FSD' in each of groups PANCAN to PAAD
missing metadata: comparison.metric implementation: reason: unreported

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