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MethylBERT: A Transformer-based model for read-level DNA methylation pattern identification and tumour deconvolution

2023-11-01

Abstract excerpt

DNA methylation (DNAm) is a key epigenetic mark that shows profound alterations in cancer. Read-level methylomes enable more in-depth DNAm analysis due to the broad coverage and preservation of rare cell-type signals, compared to array-based data such as 450K/EPIC array. Here, we propose MethylBERT, a novel Transformer-based model for read-level methylation pattern classification. MethylBERT identifies tumour-deri...

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Literature Corpus work: 8dd01d62-9e9a-5cd6-b8e8-d0a130862259
DOI: 10.1101/2023.10.29.564590

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