Article

A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer

2020-05-02

Abstract excerpt

<h4>Background</h4> Cell-free DNA’s (cfDNA) use as a biomarker in cancer is challenging due to genetic heterogeneity of malignancies and rarity of tumor-derived molecules. Here we describe and demonstrate a novel machine-learning guided panel design strategy for improving the detection of tumor variants in cfDNA. Using this approach, we first generated a model to classify and score candidate variants for inclusio...

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Literature Corpus work: 34a01f83-58c3-59d0-a237-f39068885ede
DOI: 10.1101/2020.04.30.069658

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