Configuration

cfMethyl-Seq stacked ensemble (2022)

Scoped author-reported evidence candidate; no clinical recommendation.

Overview

Scoped author-reported evidence candidate; no clinical recommendation.

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

Evaluations and results

1 evaluation · 1 result. Different protocols are not a single leaderboard.

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: cfMethyl-Seq stacked ensemble (2022)	Protocol: cfMethyl-Seq random-split four-cancer detection Dataset: cfMethyl-Seq 408 QC-passing plasma samples	80.7% sensitivity_at_97_9_percent_specificity percent · higher Uncertainty: 95% CI 68.6%–90.7% Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source cfMethyl-Seq all-stage cancer detection amp-protocol-cfmethyl-randomsplit-detection Aggregation: Not reported cfMethyl-Seq cancer detection primary paper · PMC9522828 XML Par17, Results Cancer detection, Fig3a; split Par16; configuration Par37

Source checking is not independent reproduction. Release 2026-10-07-1448159e6a81.

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Evidence

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Evidence table

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Claims, original sources and review scope · Release 2026-10-07-1448159e6a81
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Sources and history

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Release 2026-10-07-1448159e6a81 · Record review: source checked

1 source records and release history

cfMethyl-Seq cancer detection primary paper · Original source · 2022 version of record, corrected competing-interest disclosure in 2024

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Technical metadata and extraction receipts

Stable ID: amp-config-cfmethyl-stacked-2022

areas: dna-genomes
contexts: clinical_research
access reuse: Article CC-BY-4.0. Code https://github.com/jasminezhoulab/cfMethyl-Seq; article limits free use to educational/research by nonprofit institutions and US government; commercial uses contact author. No code licence inherited from article.
entity level: method
foundation model: false
missing metadata: checkpoint: No immutable serialized trained model identified; scikit learn version: Unreported in inspected Methods
model version: Four L2 linear SVMs C=1 on marker count profiles, level-2 random forest 2000 trees; remaining scikit-learn defaults
source locator: XML Par37, Code availability
version: 2022 author-reported configuration

Related records

configuration: cfMethyl-Seq all-stage cancer detection

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