rewirebio.iobenchmarks
Configuration

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

Uncertainty: 95% CI 0.8672 to 0.8984

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C13; group 'BRCA'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.614 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.5710 to 0.6563

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, E13; group 'BRCA'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.524 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.4791 to 0.5689

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, D13; group 'BRCA'; row 'length'; column 'Sensitivity @95% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.872 auroc
unitless · higher

Uncertainty: 95% CI 0.8411 to 0.9027

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C23; group 'CHOL'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.71 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.6526 to 0.7674

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, E23; group 'CHOL'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.667 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.6084 to 0.7249

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, D23; group 'CHOL'; row 'length'; column 'Sensitivity @95% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.97 auroc
unitless · higher

Uncertainty: 95% CI 0.9614 to 0.9793

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C33; group 'CRC'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.842 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.7927 to 0.8906

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, E33; group 'CRC'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.752 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.6928 to 0.8106

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, D33; group 'CRC'; row 'length'; column 'Sensitivity @95% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 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)
0.836 auroc
unitless · higher

Uncertainty: 95% CI 0.8163 to 0.8547

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (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, C83; group 'LIHC'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.915 auroc
unitless · higher

Uncertainty: 95% CI 0.8718 to 0.9575

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C53; group 'NSCLC'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.84 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.7723 to 0.9077

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, E53; group 'NSCLC'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.73 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.6475 to 0.8125

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, D53; group 'NSCLC'; row 'length'; column 'Sensitivity @95% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.855 auroc
unitless · higher

Uncertainty: 95% CI 0.8310 to 0.8786

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C63; group 'OV'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.563 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.5009 to 0.6258

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, E63; group 'OV'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.485 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.4213 to 0.5487

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, D63; group 'OV'; row 'length'; column 'Sensitivity @95% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.942 auroc
unitless · higher

Uncertainty: 95% CI 0.9278 to 0.9551

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C73; group 'PAAD'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.808 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.7653 to 0.8513

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, E73; group 'PAAD'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.724 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.6751 to 0.7733

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, D73; group 'PAAD'; row 'length'; column 'Sensitivity @95% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.874 auroc
unitless · higher

Uncertainty: 95% CI 0.8634 to 0.8848

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C3; group 'PANCAN'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.827 auroc
unitless · higher

Uncertainty: 95% CI 0.7986 to 0.8552

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C43; group 'STAD'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.53 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.4666 to 0.5934

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, E43; group 'STAD'; row 'length'; column 'Sensitivity @85% specificity'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.388 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.3241 to 0.4525

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

length (open chromatin), Cristiano cohort cross-validation

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

Aggregation: Not reported

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, D43; group 'STAD'; row 'length'; column 'Sensitivity @95% specificity'
Configuration: Fragment length distribution, 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)
0.664 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

length (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, C13; data set 'Mathios et al. LUCAS dataset (LUNG)'; row 'length'; column 'AUC'
Configuration: Fragment length distribution, 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)
0.341 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

length (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, E13; data set 'Mathios et al. LUCAS dataset (LUNG)'; row 'length'; column 'Sensitivity @85% specificity'

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

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Evidence

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Technical metadata and extraction receipts

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

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