Detailed modeling of positive selection improves detection of cancer driver genes

Finding driver genes sheds lights on the biological mechanisms propelling the development of a tumour, and can suggest therapeutic strategies. Here, the authors develop driverMAPS, a model-based approach to identify driver genes, and apply it to TCGA datasets.

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Auteurs principaux: Siming Zhao, Jun Liu, Pranav Nanga, Yuwen Liu, A. Ercument Cicek, Nicholas Knoblauch, Chuan He, Matthew Stephens, Xin He
Format: article
Langue:EN
Publié: Nature Portfolio 2019
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Accès en ligne:https://doaj.org/article/e2cfc4a4bb3344c3b518ce9ae9dea3be
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