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Deciphering subcellular processes in live imaging datasets via dynamic probabilistic networks
Motivation: Designing mathematical tools that can formally describe the dynamics of complex intracellular processes remains a challenge. Live cell imaging reveals changes in the cellular states, but current simple approaches extract only minimal information of a static snapshot. Results: We implemen...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2916721/ https://ncbi.nlm.nih.gov/pubmed/20581401 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btq331 |
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