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Cell cycle time series gene expression data encoded as cyclic attractors in Hopfield systems
Modern time series gene expression and other omics data sets have enabled unprecedented resolution of the dynamics of cellular processes such as cell cycle and response to pharmaceutical compounds. In anticipation of the proliferation of time series data sets in the near future, we use the Hopfield...
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5711035/ https://ncbi.nlm.nih.gov/pubmed/29149186 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005849 |
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