rewirebio.iobenchmarks
Configuration

Orientation-aware cell-free fragmentation (OCF), 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: Orientation-aware cell-free fragmentation (OCF), 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 0.9548 to 0.9702

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, C19; group 'BRCA'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.835 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8028 to 0.8666

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, E19; group 'BRCA'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.763 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.7207 to 0.8046

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, D19; group 'BRCA'; row 'OCF'; column 'Sensitivity @95% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.935 auroc
unitless · higher

Uncertainty: 95% CI 0.9184 to 0.9519

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, C29; group 'CHOL'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.733 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.6768 to 0.7899

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, E29; group 'CHOL'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.65 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.5891 to 0.7109

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, D29; group 'CHOL'; row 'OCF'; column 'Sensitivity @95% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.987 auroc
unitless · higher

Uncertainty: 95% CI 0.9807 to 0.9937

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, C39; group 'CRC'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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 0.9065 to 0.9735

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, E39; group 'CRC'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.895 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8540 to 0.9360

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, D39; group 'CRC'; row 'OCF'; column 'Sensitivity @95% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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)
0.939 auroc
unitless · higher

Uncertainty: 95% CI 0.9279 to 0.9493

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, C89; group 'LIHC'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.985 auroc
unitless · higher

Uncertainty: 95% CI 0.9649 to 1.0000

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, C59; group 'NSCLC'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
0.96 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.9216 to 0.9984

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, E59; group 'NSCLC'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.905 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8484 to 0.9616

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, D59; group 'NSCLC'; row 'OCF'; column 'Sensitivity @95% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.984 auroc
unitless · higher

Uncertainty: 95% CI 0.9795 to 0.9885

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, C69; group 'OV'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.92 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8869 to 0.9531

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, E69; group 'OV'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.8 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.7547 to 0.8453

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, D69; group 'OV'; row 'OCF'; column 'Sensitivity @95% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.834 auroc
unitless · higher

Uncertainty: 95% CI 0.8032 to 0.8643

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, C79; group 'PAAD'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.621 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.5661 to 0.6756

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, E79; group 'PAAD'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.547 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.4896 to 0.6054

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, D79; group 'PAAD'; row 'OCF'; column 'Sensitivity @95% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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 auroc
unitless · higher

Uncertainty: 95% CI 0.9399 to 0.9536

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, C9; group 'PANCAN'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.946 auroc
unitless · higher

Uncertainty: 95% CI 0.9253 to 0.9666

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, C49; group 'STAD'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.867 sensitivity-at-85-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.8251 to 0.9082

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, E49; group 'STAD'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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
0.803 sensitivity-at-95-percent-specificity
fraction · higher

Uncertainty: 95% CI 0.7514 to 0.8553

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OCF (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, D49; group 'STAD'; row 'OCF'; column 'Sensitivity @95% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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)
0.69 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

OCF (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, C19; data set 'Mathios et al. LUCAS dataset (LUNG)'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), 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)
0.388 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

OCF (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, E19; data set 'Mathios et al. LUCAS dataset (LUNG)'; row 'OCF'; column 'Sensitivity @85% specificity'

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Technical metadata and extraction receipts

Stable ID: ctdnafrag-20261009-config-hou2024-ocf-open-chromatin

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