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Early detection and diagnosis of cancer with interpretable machine learning to uncover cancer-specific DNA methylation patterns

Biol Methods Protoc, Vol. 9, Issue 1, Article Number: bpae028, 2024

PMID: 38903861

Cancer, a collection of more than two hundred different diseases, remains a leading cause of morbidity and mortality worldwide. Usually detected at the advanced stages of disease, metastatic cancer accounts for 90% of cancer-associated deaths. Therefore, the early detection of cancer, combined with current therapies, would have a significant impact on survival and treatment of various cancer types. Epigenetic changes such as DNA methylation are some of the early events underlying carcinogenesis. Here, we report on an interpretable machine learning model that can classify 13 cancer types as well as non-cancer tissue samples using only DNA methylome data, with 98.2% accuracy.

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