Article

Using Machine Learning to Identify True Somatic Variants from Next-Generation Sequencing

2019-06-13

Abstract excerpt

<h4>Background</h4> Molecular profiling has become essential for tumor risk stratification and treatment selection. However, cancer genome complexity and technical artifacts make identification of real variants a challenge. Currently, clinical laboratories rely on manual screening, which is costly, subjective, and not scalable. Here we present a machine learning-based method to distinguish artifacts from bona fi...

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Literature Corpus work: af55dbfd-d257-5011-bef7-2121118befe2
DOI: 10.1101/670687

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