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A data-driven interactome of synergistic genes improves network-based cancer outcome prediction
Robustly predicting outcome for cancer patients from gene expression is an important challenge on the road to better personalized treatment. Network-based outcome predictors (NOPs), which considers the cellular wiring diagram in the classification, hold much promise to improve performance, stability...
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| Publicado en: | PLoS Comput Biol |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6380593/ https://ncbi.nlm.nih.gov/pubmed/30726216 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006657 |
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