Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas

Precision oncology uses genomic evidence to match patients with treatment but often fails to identify all patients who may respond. The transcriptome of these “hidden responders” may reveal responsive molecular states. We describe and evaluate a machine-learning approach to classify aberrant pathway...

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Detalhes bibliográficos
Publicado no:Cell Rep
Main Authors: Way, Gregory P., Sanchez-Vega, Francisco, La, Konnor, Armenia, Joshua, Chatila, Walid K., Luna, Augustin, Sander, Chris, Cherniack, Andrew D., Mina, Marco, Ciriello, Giovanni, Schultz, Nikolaus, Sanchez, Yolanda, Greene, Casey S.
Formato: Artigo
Idioma:Inglês
Publicado em: 2018
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5918694/
https://ncbi.nlm.nih.gov/pubmed/29617658
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.celrep.2018.03.046
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