rewirebio.iobenchmarks
Configuration

Fragment endpoint counts, open chromatin regions, SVM (Hou et al. 2024)

Configuration as run in the cited comparison.

6 evaluations · 33 results

Overview

Configuration as run in the cited comparison.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

6 evaluations · 33 results. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: Fragment endpoint counts, 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
0.974 auroc
unitless · higher

Uncertainty: 95% CI 0.9641 to 0.9834

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, C18; group 'BRCA'; row 'end'; column 'AUC'
Configuration: Fragment endpoint counts, 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
0.941 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.9220 to 0.9600

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, E18; group 'BRCA'; row 'end'; column 'Sensitivity @85% specificity'
Configuration: Fragment endpoint counts, 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
0.862 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8305 to 0.8942

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, D18; group 'BRCA'; row 'end'; column 'Sensitivity @95% specificity'
Configuration: Fragment endpoint counts, 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
0.969 auroc
unitless · higher

Uncertainty: 95% CI 0.9596 to 0.9788

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, C28; group 'CHOL'; row 'end'; column 'AUC'
Configuration: Fragment endpoint counts, 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
0.853 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8055 to 0.9012

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, E28; group 'CHOL'; row 'end'; column 'Sensitivity @85% specificity'
Configuration: Fragment endpoint counts, 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
0.75 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.6867 to 0.8133

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, D28; group 'CHOL'; row 'end'; column 'Sensitivity @95% specificity'
Configuration: Fragment endpoint counts, 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
0.975 auroc
unitless · higher

Uncertainty: 95% CI 0.9665 to 0.9837

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, C38; group 'CRC'; row 'end'; column 'AUC'
Configuration: Fragment endpoint counts, 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
0.885 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8432 to 0.9268

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, E38; group 'CRC'; row 'end'; column 'Sensitivity @85% specificity'
Configuration: Fragment endpoint counts, 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
0.843 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.7956 to 0.8911

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, D38; group 'CRC'; row 'end'; column 'Sensitivity @95% specificity'
Configuration: Fragment endpoint counts, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Jiang cohort cross-validation, liver cancer (Table S2)
Dataset: Jiang et al. 2018 plasma WGS, 90 liver cancer and 135 non-cancer (as used by Hou et al. 2024)
0.966 auroc
unitless · higher

Uncertainty: 95% CI 0.9580 to 0.9748

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

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

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C88; group 'LIHC'; row 'end'; column 'AUC'
Configuration: Fragment endpoint counts, 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
0.999 auroc
unitless · higher

Uncertainty: 95% CI 0.9971 to 1.0000

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, C58; group 'NSCLC'; row 'end'; column 'AUC'
Configuration: Fragment endpoint counts, 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
1 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 1.0000 to 1.0000

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, E58; group 'NSCLC'; row 'end'; column 'Sensitivity @85% specificity'
Configuration: Fragment endpoint counts, 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-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.9366 to 1.0000

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, D58; group 'NSCLC'; row 'end'; column 'Sensitivity @95% specificity'
Configuration: Fragment endpoint counts, 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
0.999 auroc
unitless · higher

Uncertainty: 95% CI 0.9978 to 0.9997

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, C68; group 'OV'; row 'end'; column 'AUC'
Configuration: Fragment endpoint counts, 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
1 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 1.0000 to 1.0000

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, E68; group 'OV'; row 'end'; column 'Sensitivity @85% specificity'
Configuration: Fragment endpoint counts, 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 0.9533 to 0.9933

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, D68; group 'OV'; row 'end'; column 'Sensitivity @95% specificity'
Configuration: Fragment endpoint counts, 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 0.8058 to 0.8680

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, C78; group 'PAAD'; row 'end'; column 'AUC'
Configuration: Fragment endpoint counts, 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
0.717 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.6658 to 0.7675

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, E78; group 'PAAD'; row 'end'; column 'Sensitivity @85% specificity'
Configuration: Fragment endpoint counts, 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
0.598 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.5398 to 0.6568

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, D78; group 'PAAD'; row 'end'; column 'Sensitivity @95% specificity'
Configuration: Fragment endpoint counts, 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
0.964 auroc
unitless · higher

Uncertainty: 95% CI 0.9586 to 0.9692

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, C8; group 'PANCAN'; row 'end'; column 'AUC'
Configuration: Fragment endpoint counts, 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
0.963 auroc
unitless · higher

Uncertainty: 95% CI 0.9442 to 0.9810

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, C48; group 'STAD'; row 'end'; column 'AUC'
Configuration: Fragment endpoint counts, 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 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8959 to 0.9574

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, E48; group 'STAD'; row 'end'; column 'Sensitivity @85% specificity'
Configuration: Fragment endpoint counts, 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
0.87 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8285 to 0.9115

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (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, D48; group 'STAD'; row 'end'; column 'Sensitivity @95% specificity'
Configuration: Fragment endpoint counts, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. LUCAS cohort (Table S3)
Dataset: Mathios et al. 2021 LUCAS cohort, 129 lung cancer and 158 non-cancer (as used by Hou et al. 2024)
0.733 auroc
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (open chromatin), independent validation on Mathios et al. LUCAS dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-lucas-independent

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 S3, C18; data set 'Mathios et al. LUCAS dataset (LUNG)'; row 'end'; column 'AUC'
Configuration: Fragment endpoint counts, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 independent validation, Mathios et al. LUCAS cohort (Table S3)
Dataset: Mathios et al. 2021 LUCAS cohort, 129 lung cancer and 158 non-cancer (as used by Hou et al. 2024)
0.504 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

end (open chromatin), independent validation on Mathios et al. LUCAS dataset (LUNG)

ctdnafrag-20261009-protocol-hou2024-mathios-lucas-independent

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 S3, E18; data set 'Mathios et al. LUCAS dataset (LUNG)'; row 'end'; column 'Sensitivity @85% specificity'

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

Use this model

How it works, versions and access
Strengths, limitations and unresolved questions

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

0 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-09-ba02f2f4a36e
Property and statementOriginal source and locationReview and provenance

No evidence rows match these filters. Choose another scope or clear the search.

Sources and history

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

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

Stable ID: ctdnafrag-20261009-config-hou2024-fragment-end-count-open-chromatin

areas
dna-genomes
contexts
clinical_research
method types
supervised_machine_learning
reported name
end
foundation model eligible
false
source locator
Article Table 1 row 'end', column 'open chromatin region'; Experimental Section P29-P41
missing metadata
version: reason: unreported; note: Hou et al. re-implementation; no software version or code commit is printed
parameters
Feature setting: open chromatin regions. Classifier: scikit-learn support vector machine with default parameters.
Related records

Suggest a correction