Article

MethylationToActivity: a deep-learning framework that reveals promoter activity landscapes from DNA methylomes in individual tumors

2020-06-11

Abstract excerpt

Although genome-wide DNA methylomes have demonstrated their clinical value as reliable biomarkers for tumor detection, subtyping, and classification, their direct biological impacts at the individual gene level remain elusive. Here we present MethylationToActivity (M2A), a machine learning framework that uses convolutional neural networks to infer promoter activities (H3K4me3 and H3K27ac enrichment) from DNA methy...

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Literature Corpus work: a037f1b1-7db1-5e6d-b1b2-78ed9fc91813
DOI: 10.1101/2020.06.09.143172

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