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Machine Learning–Based Classification of Cancer Using Promoter-Associated 5-Hydroxymethylcytosine Signatures in Cell-Free DNA

2026-09-01

Abstract excerpt

<title>Abstract</title> <p>Cancer is a leading cause of global mortality, with its biological complexity and molecular heterogeneity posing significant challenges to early diagnosis and clinical management. Among emerging epigenetic biomarkers, 5hydroxymethylcytosine (5hmC), an oxidative derivative of 5-methylcytosine generated by ten-eleven translocation (TET) enzymes, has demonstrated strong potential for non-i...

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Literature Corpus work
d4494ad2-62de-52da-9169-bbf000c6c365
DOI
10.21203/rs.3.rs-10868632/v1
Open publication

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Machine Learning–Based Classification of Cancer Using Promoter-Associated 5-Hydroxymethylcytosine Signatures in Cell-Free DNADOI 10.21203/rs.3.rs-10868632/v1
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