SPOT-MAS tissue-of-origin classifier
Tissue-of-origin classification from nine SPOT-MAS cfDNA feature sets (targeted and genome-wide methylation, fragment length, copy number and end motifs) from one bisulfite library.
No reviewed evaluations are linked here in this release. See the sources and separately identified configurations below.
Overview
Tissue-of-origin classification from nine SPOT-MAS cfDNA feature sets (targeted and genome-wide methylation, fragment length, copy number and end motifs) from one bisulfite library.
Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
Evaluations and results
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Source checking is not independent reproduction. Release 2026-10-09-8cc1db47c7f9.
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Evidence
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Sources and history
Release 2026-10-09-8cc1db47c7f9 · Record review: source checked
1 source records and release history
- Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization · Original source · eLife 12:RP89083, version of record published 2023-10-11; PMC10567114 full-text XML
Technical metadata and extraction receipts
Stable ID: ctdnameth-20261009-method-spotmas-too
- areas
- dna-genomes
- contexts
- clinical_research
- method types
- supervised_machine_learning
- reported name
- SPOT-MAS tissue-of-origin classifier
- entity level
- method
- source locator
- Tool lists and table row labels of the cited sources
- missing metadata
- version: reason: inapplicable; note: Family record; versions are on configurations
Related records
- subject: input_features: ctdnameth-20261009-method-spotmas-too
- configuration of: SPOT-MAS tissue-of-origin Deep neural network (DNN)
- configuration of: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)
- configuration of: SPOT-MAS tissue-of-origin Random forest (RF)