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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Cell Rep
Egile Nagusiak: 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.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2018
Gaiak:
Article
Sarrera elektronikoa: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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