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Robust methylation based classification of brain tumors using nanopore sequencing

ABSTRACT: Using a public reference data set of 82 unique entities, 382 nanopore-sequenced brain tumor samples were classified based on their methylation status through an ad hoc random forest algorithm. As a measure of confidence, score recalibration was performed and platform-specific thresholds were defined.

ORGANISM(S): Homo sapiens

PROVIDER: GSE209865 | GEO | 2022/07/30

REPOSITORIES: GEO

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Robust methylation-based classification of brain tumours using nanopore sequencing

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