Article

Discovery of Latent Drivers from Double Mutations in Pan-Cancer Data Reveal their Clinical Impact

2021-04-04

Abstract excerpt

<h4>Background: </h4> Transforming patient-specific molecular data into clinical decisions is fundamental to personalized medicine. Despite massive advancements in cancer genomics, to date driver mutations whose frequencies are low, and their observable transformation potential is minor have escaped identification. Yet, when paired with other mutations in cis , such ‘latent driver’ mutations can drive cancer. Her...

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Literature Corpus work: b597ff08-f208-5377-b4b3-74c74f382d8f
DOI: 10.1101/2021.04.02.438239

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