A novel model to combine clinical and pathway-based transcriptomic information for the prognosis prediction of breast cancer.
Breast cancer is the most common malignancy in women worldwide. With the increasing awareness of heterogeneity in breast cancers, better prediction of breast cancer prognosis is much needed for more personalized treatment and disease management. Towards this goal, we have developed a novel computati...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science (PLoS)
2014-09-01
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| Serie: | PLoS Computational Biology |
| Accesso online: | http://europepmc.org/articles/PMC4168973?pdf=render |
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