rewirebio.iobenchmarks
Configuration

Fragment coverage (fragment midpoint 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 coverage (fragment midpoint 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 0.9651 to 0.9843

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, C17; group 'BRCA'; row 'coverage'; column 'AUC'
Configuration: Fragment coverage (fragment midpoint 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
0.947 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.9280 to 0.9660

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, E17; group 'BRCA'; row 'coverage'; column 'Sensitivity @85% specificity'
Configuration: Fragment coverage (fragment midpoint 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-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8566 to 0.9134

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, D17; group 'BRCA'; row 'coverage'; column 'Sensitivity @95% specificity'
Configuration: Fragment coverage (fragment midpoint 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
0.977 auroc
unitless · higher

Uncertainty: 95% CI 0.9706 to 0.9838

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, C27; group 'CHOL'; row 'coverage'; column 'AUC'
Configuration: Fragment coverage (fragment midpoint 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
0.887 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8492 to 0.9242

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, E27; group 'CHOL'; row 'coverage'; column 'Sensitivity @85% specificity'
Configuration: Fragment coverage (fragment midpoint 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
0.79 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.7408 to 0.8392

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, D27; group 'CHOL'; row 'coverage'; column 'Sensitivity @95% specificity'
Configuration: Fragment coverage (fragment midpoint 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
0.978 auroc
unitless · higher

Uncertainty: 95% CI 0.9696 to 0.9860

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, C37; group 'CRC'; row 'coverage'; column 'AUC'
Configuration: Fragment coverage (fragment midpoint 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
0.908 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8752 to 0.9414

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, E37; group 'CRC'; row 'coverage'; column 'Sensitivity @85% specificity'
Configuration: Fragment coverage (fragment midpoint 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
0.868 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8310 to 0.9057

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, D37; group 'CRC'; row 'coverage'; column 'Sensitivity @95% specificity'
Configuration: Fragment coverage (fragment midpoint counts), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Jiang cohort cross-validation, liver cancer (Table S2)
Dataset: Jiang et al. 2018 plasma WGS, 90 liver cancer and 135 non-cancer (as used by Hou et al. 2024)
0.943 auroc
unitless · higher

Uncertainty: 95% CI 0.9315 to 0.9542

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

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

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C87; group 'LIHC'; row 'coverage'; column 'AUC'
Configuration: Fragment coverage (fragment midpoint 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
0.997 auroc
unitless · higher

Uncertainty: 95% CI 0.9936 to 0.9997

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, C57; group 'NSCLC'; row 'coverage'; column 'AUC'
Configuration: Fragment coverage (fragment midpoint 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 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.9495 to 1.0000

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, E57; group 'NSCLC'; row 'coverage'; column 'Sensitivity @85% specificity'
Configuration: Fragment coverage (fragment midpoint 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
0.965 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.9332 to 0.9968

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, D57; group 'NSCLC'; row 'coverage'; column 'Sensitivity @95% specificity'
Configuration: Fragment coverage (fragment midpoint 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 0.9980 to 0.9997

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, C67; group 'OV'; row 'coverage'; column 'AUC'
Configuration: Fragment coverage (fragment midpoint 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

coverage (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, E67; group 'OV'; row 'coverage'; column 'Sensitivity @85% specificity'
Configuration: Fragment coverage (fragment midpoint 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 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.9569 to 0.9931

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, D67; group 'OV'; row 'coverage'; column 'Sensitivity @95% specificity'
Configuration: Fragment coverage (fragment midpoint 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
0.838 auroc
unitless · higher

Uncertainty: 95% CI 0.8051 to 0.8712

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, C77; group 'PAAD'; row 'coverage'; column 'AUC'
Configuration: Fragment coverage (fragment midpoint 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
0.73 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.6810 to 0.7790

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, E77; group 'PAAD'; row 'coverage'; column 'Sensitivity @85% specificity'
Configuration: Fragment coverage (fragment midpoint 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
0.566 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.5110 to 0.6207

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, D77; group 'PAAD'; row 'coverage'; column 'Sensitivity @95% specificity'
Configuration: Fragment coverage (fragment midpoint 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 0.9585 to 0.9692

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, C7; group 'PANCAN'; row 'coverage'; column 'AUC'
Configuration: Fragment coverage (fragment midpoint 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 0.9446 to 0.9815

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, C47; group 'STAD'; row 'coverage'; column 'AUC'
Configuration: Fragment coverage (fragment midpoint 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
0.94 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.9110 to 0.9690

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, E47; group 'STAD'; row 'coverage'; column 'Sensitivity @85% specificity'
Configuration: Fragment coverage (fragment midpoint 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-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8066 to 0.9001

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

coverage (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, D47; group 'STAD'; row 'coverage'; column 'Sensitivity @95% specificity'
Configuration: Fragment coverage (fragment midpoint 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)
0.731 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

coverage (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, C17; data set 'Mathios et al. LUCAS dataset (LUNG)'; row 'coverage'; column 'AUC'
Configuration: Fragment coverage (fragment midpoint 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)
0.543 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

coverage (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, E17; data set 'Mathios et al. LUCAS dataset (LUNG)'; row 'coverage'; column 'Sensitivity @85% specificity'

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Technical metadata and extraction receipts

Stable ID: ctdnafrag-20261009-config-hou2024-fragment-coverage-open-chromatin

areas
dna-genomes
contexts
clinical_research
method types
supervised_machine_learning
reported name
coverage
foundation model eligible
false
source locator
Article Table 1 row 'coverage', 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.
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