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Modeling and measurement of signaling outcomes affecting decision making in noisy intracellular networks using machine learning methods
Characterization of decision-making in cells in response to received signals is of importance for understanding how cell fate is determined. The problem becomes multi-faceted and complex when we consider cellular heterogeneity and dynamics of biochemical processes. In this paper, we present a unifie...
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| Pubblicato in: | Integr Biol (Camb) |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7240334/ https://ncbi.nlm.nih.gov/pubmed/32424393 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/intbio/zyaa009 |
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