A random forest over tissue methylation blocks reaches moderate organ classification accuracy, but the claim to predict disease site conflates tissue type with disease state and the deconvolution validation uses the model's own training data.
Molecular and functional extracellular vesicle analysis using nanopatterned mi- crochips monitors tumor progression and metastasis
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A DNA Methylation Classification Model Predicts Organ and Disease Site
A random forest over tissue methylation blocks reaches moderate organ classification accuracy, but the claim to predict disease site conflates tissue type with disease state and the deconvolution validation uses the model's own training data.