Evaluation

IFS (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: Integrated fragmentation score (IFS), 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	0.972 auroc unitless · higher Uncertainty: 95% CI 0.9606 to 0.9830 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, C20; group 'BRCA'; row 'IFS'; column 'AUC'
Configuration: Integrated fragmentation score (IFS), 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	0.934 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.9084 to 0.9602 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, E20; group 'BRCA'; row 'IFS'; column 'Sensitivity @85% specificity'
Configuration: Integrated fragmentation score (IFS), 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	0.88 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.8454 to 0.9139 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, D20; group 'BRCA'; row 'IFS'; column 'Sensitivity @95% specificity'
Configuration: Integrated fragmentation score (IFS), 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	0.977 auroc unitless · higher Uncertainty: 95% CI 0.9701 to 0.9839 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, C30; group 'CHOL'; row 'IFS'; column 'AUC'
Configuration: Integrated fragmentation score (IFS), 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	0.882 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.8393 to 0.9241 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, E30; group 'CHOL'; row 'IFS'; column 'Sensitivity @85% specificity'
Configuration: Integrated fragmentation score (IFS), 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	0.755 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.6938 to 0.8162 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, D30; group 'CHOL'; row 'IFS'; column 'Sensitivity @95% specificity'
Configuration: Integrated fragmentation score (IFS), 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	0.978 auroc unitless · higher Uncertainty: 95% CI 0.9704 to 0.9858 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, C40; group 'CRC'; row 'IFS'; column 'AUC'
Configuration: Integrated fragmentation score (IFS), 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	0.903 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.8678 to 0.9389 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, E40; group 'CRC'; row 'IFS'; column 'Sensitivity @85% specificity'
Configuration: Integrated fragmentation score (IFS), 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	0.845 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.8006 to 0.8894 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, D40; group 'CRC'; row 'IFS'; column 'Sensitivity @95% specificity'
Configuration: Integrated fragmentation score (IFS), 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	0.997 auroc unitless · higher Uncertainty: 95% CI 0.9936 to 0.9995 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, C60; group 'NSCLC'; row 'IFS'; column 'AUC'
Configuration: Integrated fragmentation score (IFS), 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 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.9396 to 1.0000 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, E60; group 'NSCLC'; row 'IFS'; column 'Sensitivity @85% specificity'
Configuration: Integrated fragmentation score (IFS), 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	0.955 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.9181 to 0.9919 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, D60; group 'NSCLC'; row 'IFS'; column 'Sensitivity @95% specificity'
Configuration: Integrated fragmentation score (IFS), 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	0.998 auroc unitless · higher Uncertainty: 95% CI 0.9964 to 0.9995 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, C70; group 'OV'; row 'IFS'; column 'AUC'
Configuration: Integrated fragmentation score (IFS), 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	0.99 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.9789 to 1.0000 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, E70; group 'OV'; row 'IFS'; column 'Sensitivity @85% specificity'
Configuration: Integrated fragmentation score (IFS), 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	0.973 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.9556 to 0.9911 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, D70; group 'OV'; row 'IFS'; column 'Sensitivity @95% specificity'
Configuration: Integrated fragmentation score (IFS), 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	0.837 auroc unitless · higher Uncertainty: 95% CI 0.8026 to 0.8708 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, C80; group 'PAAD'; row 'IFS'; column 'AUC'
Configuration: Integrated fragmentation score (IFS), 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	0.704 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.6557 to 0.7526 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, E80; group 'PAAD'; row 'IFS'; column 'Sensitivity @85% specificity'
Configuration: Integrated fragmentation score (IFS), 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	0.584 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.5286 to 0.6398 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, D80; group 'PAAD'; row 'IFS'; column 'Sensitivity @95% specificity'
Configuration: Integrated fragmentation score (IFS), 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	0.965 auroc unitless · higher Uncertainty: 95% CI 0.9595 to 0.9710 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, C10; group 'PANCAN'; row 'IFS'; column 'AUC'
Configuration: Integrated fragmentation score (IFS), 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	0.962 auroc unitless · higher Uncertainty: 95% CI 0.9419 to 0.9812 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, C50; group 'STAD'; row 'IFS'; column 'AUC'
Configuration: Integrated fragmentation score (IFS), 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	0.922 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.8889 to 0.9545 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, E50; group 'STAD'; row 'IFS'; column 'Sensitivity @85% specificity'
Configuration: Integrated fragmentation score (IFS), 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	0.878 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.8397 to 0.9169 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (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, D50; group 'STAD'; row 'IFS'; 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: Integrated fragmentation score (IFS), 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: Author-reported 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: IFS 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

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38 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 'IFS' 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 author reported 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 'IFS' 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 author reported 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 'IFS' 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 author reported 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 'IFS' 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 author reported 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 'IFS' 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 author reported 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 'IFS' 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 author reported 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 'IFS' 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 author reported 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 'IFS' 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 author reported 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 IFS 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 'IFS' 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 author reported 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 IFS 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 'IFS' 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 author reported 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-ifs-cristiano

areas: dna-genomes
contexts: clinical_research
origin: author_reported
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: IFS 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 'IFS' in each of groups PANCAN to PAAD
missing metadata: comparison.metric implementation: reason: unreported
limitations: IFS was defined in Zhou et al. 2022 (Hou et al. ref 10); its first author, Xionghui Zhou, is Hou et al.'s corresponding author with the same affiliation, so this evaluation is author-reported.

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