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Article

Supervised non-negative matrix factorization on cell-free DNA fragmentomic features enhances early cancer detection

2024-12-20

Abstract excerpt

<h4>Background</h4> Cell-free circulating DNA (cfDNA) fragments exhibit non-random patterns in their length (FLEN), end-motif (EM), and distance to nucleosome position (ND). While these cfDNA features have shown promise as inputs for machine learning and deep learning models in early cancer detection, most studies utilize them as raw inputs, overlooking the potential benefits of pre-processing to extract cancer-s...

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Literature Corpus work
649fc544-72d2-53b6-8c20-2ffcb9f650a8
DOI
10.1101/2024.12.20.629316
Open publication

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Supervised non-negative matrix factorization on cell-free DNA fragmentomic features enhances early cancer detectionDOI 10.1101/2024.12.20.629316
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