Protocol

Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type)

Real-world disease detection test in Sun et al. 2024, cfMethyl-Seq cohort; one AUC per cancer type against the same healthy group.

5 evaluations · 25 results

Overview

Real-world disease detection test in Sun et al. 2024, cfMethyl-Seq cohort; one AUC per cancer type against the same healthy group.

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

5 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

Results are available, but no reviewed comparison panel is linked in this release.

All evaluations

5 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: CelFEER (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.85 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 CelFEER deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', I6; row 'Colon cancer'; column 'CelFEER' under 'AUC values'
Configuration: CelFEER (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.91 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 CelFEER deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', I9; row 'Gastric cancer'; column 'CelFEER' under 'AUC values'
Configuration: CelFEER (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.87 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 CelFEER deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', I5; row 'Liver cancer (cfMethyl-Seq)'; column 'CelFEER' under 'AUC values'
Configuration: CelFEER (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.8 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 CelFEER deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', I7; row 'LUAD'; column 'CelFEER' under 'AUC values'
Configuration: CelFEER (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.78 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 CelFEER deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', I8; row 'LUSC'; column 'CelFEER' under 'AUC values'
Configuration: CelFiE (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.91 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 CelFiE deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', J6; row 'Colon cancer'; column 'CelFiE' under 'AUC values'
Configuration: CelFiE (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.93 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 CelFiE deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', J9; row 'Gastric cancer'; column 'CelFiE' under 'AUC values'
Configuration: CelFiE (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.82 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 CelFiE deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', J5; row 'Liver cancer (cfMethyl-Seq)'; column 'CelFiE' under 'AUC values'
Configuration: CelFiE (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.83 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 CelFiE deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', J7; row 'LUAD'; column 'CelFiE' under 'AUC values'
Configuration: CelFiE (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.83 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 CelFiE deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', J8; row 'LUSC'; column 'CelFiE' under 'AUC values'
Configuration: cfNOMe (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.82 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 cfNOMe deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', K6; row 'Colon cancer'; column 'cfNOMe' under 'AUC values'
Configuration: cfNOMe (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.87 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 cfNOMe deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', K9; row 'Gastric cancer'; column 'cfNOMe' under 'AUC values'
Configuration: cfNOMe (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.87 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 cfNOMe deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', K5; row 'Liver cancer (cfMethyl-Seq)'; column 'cfNOMe' under 'AUC values'
Configuration: cfNOMe (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.85 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 cfNOMe deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', K7; row 'LUAD'; column 'cfNOMe' under 'AUC values'
Configuration: cfNOMe (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.84 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 cfNOMe deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', K8; row 'LUSC'; column 'cfNOMe' under 'AUC values'
Configuration: MethAtlas (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.82 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 MethAtlas deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', L6; row 'Colon cancer'; column 'MethAtlas' under 'AUC values'
Configuration: MethAtlas (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.86 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 MethAtlas deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', L9; row 'Gastric cancer'; column 'MethAtlas' under 'AUC values'
Configuration: MethAtlas (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.84 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 MethAtlas deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', L5; row 'Liver cancer (cfMethyl-Seq)'; column 'MethAtlas' under 'AUC values'
Configuration: MethAtlas (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.77 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 MethAtlas deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', L7; row 'LUAD'; column 'MethAtlas' under 'AUC values'
Configuration: MethAtlas (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.78 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 MethAtlas deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', L8; row 'LUSC'; column 'MethAtlas' under 'AUC values'
Configuration: UXM (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.81 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 UXM deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', M6; row 'Colon cancer'; column 'UXM' under 'AUC values'
Configuration: UXM (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.87 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 UXM deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', M9; row 'Gastric cancer'; column 'UXM' under 'AUC values'
Configuration: UXM (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.83 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 UXM deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', M5; row 'Liver cancer (cfMethyl-Seq)'; column 'UXM' under 'AUC values'
Configuration: UXM (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.78 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 UXM deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', M7; row 'LUAD'; column 'UXM' under 'AUC values'
Configuration: UXM (Sun et al. 2024 benchmark)	Protocol: Sun et al. 2024 five-cancer detection from deconvolved plasma cfMethyl-Seq (ROC-AUC per cancer type) Dataset: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)	0.72 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 UXM deconvolution, disease detection AUC (cfMethyl-Seq cohort) ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc Aggregation: Not reported Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA; Sun et al. 2024, Additional file 1 (Tables S1-S8) · Sun Additional file 1, sheet 'Table S7 ', M8; row 'LUSC'; column 'UXM' under 'AUC values'

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Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA · Original source · Genome Biology 25:318, published 2024-12-19; PMC11660681.1 full-text XML
Sun et al. 2024, Additional file 1 (Tables S1-S8) · Original source · Additional file 1 (13059_2024_3456_MOESM1_ESM.xlsx) of Genome Biology 25:318

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Technical metadata and extraction receipts

Stable ID: ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc

areas: dna-genomes
contexts: clinical_research
protocol: Deconvolve each plasma sample against a full 35-cell-type reference atlas with each method, then train a random forest on the estimated cell-type fractions to separate patients from healthy individuals and report ROC-AUC. One comparison per cancer type against the 193 healthy individuals.
version: Sun et al. 2024, Methods 'Assessment of deconvolution performance on real-world datasets' (P49)
metric: auroc
metric direction: higher
limitations: The random forest training and evaluation split (cross-validation or held-out) is not stated; the AUC may be in-sample.; Discrimination AUC, not sensitivity at a declared specificity.; No uncertainty is reported for the AUC values.
missing metadata: metric implementation: reason: unreported; note: Random forest settings and resampling not stated; split seeds: reason: unreported
source locator: Article P30 (cohorts), P49 (AUC definition); Additional file 1 Table S7 rows 5-9

Related records

uses data: Plasma cfMethyl-Seq, 225 cancer patients and 193 healthy individuals (EGAD00001009003)
subject: metric_definition: ctdnameth-20261009-protocol-sun2024-cfmethyl-detection-auc
assessment: CelFEER deconvolution, disease detection AUC (cfMethyl-Seq cohort)
assessment: CelFiE deconvolution, disease detection AUC (cfMethyl-Seq cohort)
assessment: cfNOMe deconvolution, disease detection AUC (cfMethyl-Seq cohort)
assessment: MethAtlas deconvolution, disease detection AUC (cfMethyl-Seq cohort)
assessment: UXM deconvolution, disease detection AUC (cfMethyl-Seq cohort)
assessed by: Select a plasma ctDNA methylation detection workflow

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