Article

ConsensusDriver improves upon individual algorithms for predicting driver alterations in different cancer types and individual patients – a toolbox for precision oncology

2017-04-18

Abstract excerpt

<h4>Background</h4> In recent years, several large-scale cancer genomics studies have helped generate detailed molecular profiling datasets for many cancer types and thousands of patients. These datasets provide a unique resource for studying cancer driver prediction methods and their utility for precision oncology, both to predict driver genetic alterations in patient subgroups (e.g. defined by histology or clin...

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Literature Corpus work: 62983705-a67c-587e-8053-c18dd6e4b3d7
DOI: 10.1101/127985

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