Article

Automated quality control of next generation sequencing data using machine learning

2019-09-14

Abstract excerpt

Controlling quality of next generation sequencing (NGS) data files is a necessary but complex task. To address this problem, we statistically characterized common NGS quality features and developed a novel quality control procedure involving tree-based and deep learning classification algorithms. Predictive models, validated on internal data and external disease diagnostic datasets, are to some extent generalizabl...

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Identifiers and source

Literature Corpus work: 40709df5-7797-507a-a72c-542dfc097d44
DOI: 10.1101/768713

Open publication

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