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Optimal cancer prognosis under network uncertainty
Typically, a vast amount of experience and data is needed to successfully determine cancer prognosis in the face of (1) the inherent stochasticity of cell dynamics, (2) incomplete knowledge of healthy cell regulation, and (3) the inherent uncertain and evolving nature of cancer progression. There is...
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| Publicado no: | EURASIP J Bioinform Syst Biol |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5270461/ https://ncbi.nlm.nih.gov/pubmed/28194170 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13637-014-0020-3 |
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