Article

An Unsupervised Learning Method for Disease Classification Based on DNA Methylation Signatures

2018-12-10

Abstract excerpt

Recent work has shown that genome-wide DNA methylation (DNAm) profiles can be used to discern signatures that can identify specific genetic disorders. These methods are especially effective at identifying single gene (Mendelian) disease, and methods to identify such signatures have been built by comparing methylation profiles of known disease versus control samples. These methods, however, have to-date been superv...

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Literature Corpus work: e9419585-c016-53a1-8ca7-594eef731839
DOI: 10.1101/492926

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