Protocol

Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC)

One SVM per fragmentation pattern and feature setting on the DELFI 2019 cohort.

Overview

One SVM per fragmentation pattern and feature setting on the DELFI 2019 cohort.

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

25 recorded evaluations, 25 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.

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Results

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All evaluations

25 evaluations · 25 results. Different protocols are not a single leaderboard.

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Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: DELFI fragmentation profile, region definition of the original publication (5 mb bins), SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.958 auroc unitless · higher Uncertainty: 95% CI 0.9520 to 0.9631 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DELFI (region definition of the original publication), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'DELFI', column 'definition as per the original publication'
Configuration: Fragment 5' end motif (4-mer), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.974 auroc unitless · higher Uncertainty: 95% CI 0.9696 to 0.9776 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source EDM (open chromatin regions), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'EDM', column 'open chromatin region'
Configuration: Fragment 5' end motif (4-mer), region definition of the original publication (whole genome), SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.982 auroc unitless · higher Uncertainty: 95% CI 0.9786 to 0.9862 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source EDM (region definition of the original publication), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'EDM', column 'definition as per the original publication'
Configuration: Fragment 5' end motif (4-mer), open chromatin regions after PCA dimension reduction, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.974 auroc unitless · higher Uncertainty: 95% CI 0.9695 to 0.9780 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source EDM (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'EDM', column 'after PCA degradation'
Configuration: Fragment coverage (fragment midpoint counts), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) 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 regions), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'coverage', column 'open chromatin region'
Configuration: Fragment coverage (fragment midpoint counts), open chromatin regions after PCA dimension reduction, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.964 auroc unitless · higher Uncertainty: 95% CI 0.9595 to 0.9684 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source coverage (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'coverage', column 'after PCA degradation'
Configuration: Fragment endpoint counts, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) 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 regions), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'end', column 'open chromatin region'
Configuration: Fragment endpoint counts, open chromatin regions after PCA dimension reduction, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.963 auroc unitless · higher Uncertainty: 95% CI 0.9573 to 0.9676 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source end (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'end', column 'after PCA degradation'
Configuration: Fragment length distribution, open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) 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 regions), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'length', column 'open chromatin region'
Configuration: Fragment length distribution, region definition of the original publication (whole genome), SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.883 auroc unitless · higher Uncertainty: 95% CI 0.8739 to 0.8930 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (region definition of the original publication), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'length', column 'definition as per the original publication'
Configuration: Fragment length distribution, open chromatin regions after PCA dimension reduction, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.876 auroc unitless · higher Uncertainty: 95% CI 0.8661 to 0.8865 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source length (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'length', column 'after PCA degradation'
Configuration: Fragment size distribution (FSD), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.927 auroc unitless · higher Uncertainty: 95% CI 0.9191 to 0.9351 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (open chromatin regions), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'FSD', column 'open chromatin region'
Configuration: Fragment size distribution (FSD), region definition of the original publication (chromosome arm), SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.943 auroc unitless · higher Uncertainty: 95% CI 0.9365 to 0.9498 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (region definition of the original publication), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'FSD', column 'definition as per the original publication'
Configuration: Fragment size distribution (FSD), open chromatin regions after PCA dimension reduction, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.923 auroc unitless · higher Uncertainty: 95% CI 0.9149 to 0.9308 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSD (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'FSD', column 'after PCA degradation'
Configuration: Fragment size ratio (FSR), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.944 auroc unitless · higher Uncertainty: 95% CI 0.9369 to 0.9513 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSR (open chromatin regions), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'FSR', column 'open chromatin region'
Configuration: Fragment size ratio (FSR), region definition of the original publication (5mb bins), SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.846 auroc unitless · higher Uncertainty: 95% CI 0.8344 to 0.8568 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSR (region definition of the original publication), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'FSR', column 'definition as per the original publication'
Configuration: Fragment size ratio (FSR), open chromatin regions after PCA dimension reduction, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.945 auroc unitless · higher Uncertainty: 95% CI 0.9389 to 0.9505 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FSR (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'FSR', column 'after PCA degradation'
Configuration: Integrated fragmentation score (IFS), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.965 auroc unitless · higher Uncertainty: 95% CI 0.9595 to 0.9710 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (open chromatin regions), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'IFS', column 'open chromatin region'
Configuration: Integrated fragmentation score (IFS), open chromatin regions after PCA dimension reduction, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.964 auroc unitless · higher Uncertainty: 95% CI 0.9592 to 0.9690 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source IFS (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'IFS', column 'after PCA degradation'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) 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 regions), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'OCF', column 'open chromatin region'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions after PCA dimension reduction, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.947 auroc unitless · higher Uncertainty: 95% CI 0.9401 to 0.9538 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'OCF', column 'after PCA degradation'
Configuration: Promoter fragmentation entropy (PFE), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.958 auroc unitless · higher Uncertainty: 95% CI 0.9528 to 0.9631 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source PFE (open chromatin regions), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'PFE', column 'open chromatin region'
Configuration: Promoter fragmentation entropy (PFE), open chromatin regions after PCA dimension reduction, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.958 auroc unitless · higher Uncertainty: 95% CI 0.9523 to 0.9631 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source PFE (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'PFE', column 'after PCA degradation'
Configuration: Windowed protection score (WPS), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.966 auroc unitless · higher Uncertainty: 95% CI 0.9598 to 0.9719 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source WPS (open chromatin regions), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'WPS', column 'open chromatin region'
Configuration: Windowed protection score (WPS), open chromatin regions after PCA dimension reduction, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 pan-cancer vs healthy, Cristiano cohort, 10 x 10-fold cross-validation (Table 1 AUC) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.965 auroc unitless · higher Uncertainty: 95% CI 0.9596 to 0.9701 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source WPS (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Article Table 1 (advs8741-tbl-0001), row 'WPS', column 'after PCA degradation'

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Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Original source · Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML

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Technical metadata and extraction receipts

Stable ID: ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc

areas: dna-genomes
contexts: clinical_research
protocol: Compute each fragmentation pattern for every sample, train a support vector machine (scikit-learn defaults) per pattern and feature setting to separate 208 cancer patients (seven types) from 215 healthy individuals, and report ROC-AUC with 95% CI over 10 repeats of 10-fold cross-validation.
version: Hou et al. 2024 Table 1; Methods P41 and P44
metric: auroc
metric direction: higher
limitations: Internal cross-validation on one cohort (the DELFI 2019 cohort), not an independent validation.; AUC only; no sensitivity at a declared specificity in Table 1.; Fragment files taken from FinaleDB rather than the original BAM files.; IFS was defined by Hou et al.'s corresponding author (Zhou et al. 2022, ref 10), so its evaluations are author-reported; the other nine patterns are independent re-implementations.
source locator: Article Table 1; Experimental Section P41, P44

Related records

uses data: DELFI 2019 internally cross-validated cancer detection cohort
subject: metric_implementation: ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc
assessment: DELFI (region definition of the original publication), pan-cancer vs healthy AUC
assessment: EDM (open chromatin regions), pan-cancer vs healthy AUC
assessment: EDM (region definition of the original publication), pan-cancer vs healthy AUC
assessment: EDM (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC
assessment: coverage (open chromatin regions), pan-cancer vs healthy AUC
assessment: coverage (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC
assessment: end (open chromatin regions), pan-cancer vs healthy AUC
assessment: end (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC
assessment: length (open chromatin regions), pan-cancer vs healthy AUC
assessment: length (region definition of the original publication), pan-cancer vs healthy AUC
assessment: length (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC
assessment: FSD (open chromatin regions), pan-cancer vs healthy AUC
assessment: FSD (region definition of the original publication), pan-cancer vs healthy AUC
assessment: FSD (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC
assessment: FSR (open chromatin regions), pan-cancer vs healthy AUC
assessment: FSR (region definition of the original publication), pan-cancer vs healthy AUC
assessment: FSR (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC
assessment: IFS (open chromatin regions), pan-cancer vs healthy AUC
assessment: IFS (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC
assessment: OCF (open chromatin regions), pan-cancer vs healthy AUC
assessment: OCF (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC
assessment: PFE (open chromatin regions), pan-cancer vs healthy AUC
assessment: PFE (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC
assessment: WPS (open chromatin regions), pan-cancer vs healthy AUC
assessment: WPS (open chromatin regions after PCA dimension reduction), pan-cancer vs healthy AUC
assessed by: Select a plasma ctDNA fragmentomics detection workflow

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