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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...

詳細記述

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書誌詳細
第一著者: Flores, Kevin B.
フォーマット: Artigo
言語:Inglês
出版事項: 2013
主題:
オンライン・アクセス: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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