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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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| Publicado no: | Cell Rep |
|---|---|
| Main Authors: | , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| 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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