Cell-free DNA fragmentation patterns can accurately predict DNA methylation status, offering a non-invasive method to study diseases like cancer without damaging DNA being sequenced.
Researchers trained a machine learning model to analyze CpG sites in the DNA using characteristics from cell-free DNA fragments, providing a new approach for studying DNA methylation.
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