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A structured population modeling framework for quantifying and predicting gene expression noise in flow cytometry data
We formulated a structured population model with distributed parameters to identify mechanisms that contribute to gene expression noise in time-dependent flow cytometry data. The model was validated using cell population-level gene expression data from two experiments with synthetically engineered e...
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3685274/ https://ncbi.nlm.nih.gov/pubmed/23794787 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.aml.2013.03.003 |
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