Article

Azurify integrates cancer genomics with machine learning to classify the clinical significance of somatic variants

2025-04-23

Abstract excerpt

<h4>SUMMARY</h4> Accurate classification of somatic variations from high-throughput sequencing data has become integral to diagnostics and prognostics across various cancers. However, the classification of these variations remains highly manual, inherently variable, and largely inaccessible outside specialized laboratories. Here, we introduce Azurify - a computational tool that integrates machine learning, public...

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Literature Corpus work: 5ce58e53-9fc9-531d-a2bc-e1275c8235d3
DOI: 10.1101/2025.04.18.649588

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