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Article

Pan-cancer detection and typing by mining patterns in large genome-wide cell-free DNA sequencing datasets

2022-02-20

Abstract excerpt

<h4>Background</h4> Cell-free DNA (cfDNA) analysis holds great promise for non-invasive cancer screening, diagnosis and monitoring. We hypothesized that mining the patterns of big datasets of shallow whole genome sequencing cfDNA from cancer patients could improve cancer detection. <h4>Methods</h4> By applying unsupervised clustering and supervised machine learning on large shallow whole-genome sequencing cfDNA da...

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Literature Corpus work
fb501ecf-aa07-5301-ae96-f642129eff4a
DOI
10.1101/2022.02.16.22268780
Open publication

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Pan-cancer detection and typing by mining patterns in large genome-wide cell-free DNA sequencing datasetsDOI 10.1101/2022.02.16.22268780
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