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Data-Driven Metabolic Pathway Compositions Enhance Cancer Survival Prediction
Altered cellular metabolism is an important characteristic and driver of cancer. Surprisingly, however, we find here that aggregating individual gene expression using canonical metabolic pathways fails to enhance the classification of noncancerous vs. cancerous tissues and the prediction of cancer p...
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| Publicado no: | PLoS Comput Biol |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5038951/ https://ncbi.nlm.nih.gov/pubmed/27673682 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005125 |
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