Article

Machine learning predictions improve identification of real-world cancer driver mutations

2024-04-01

Abstract excerpt

Characterizing and validating which mutations influence development of cancer is challenging. Machine learning has delivered significant advances in protein structure prediction, but its utility for identifying cancer drivers is less explored. We evaluated multiple computational methods for identifying cancer driver alterations. For identifying known drivers, methods incorporating protein structure or functional g...

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Literature Corpus work: dd77eea9-28da-5bb1-b568-5ac0d79089e1
DOI: 10.1101/2024.03.31.587410

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