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Inferring single-cell gene expression mechanisms using stochastic simulation
Motivation: Stochastic promoter switching between transcriptionally active (ON) and inactive (OFF) states is a major source of noise in gene expression. It is often implicitly assumed that transitions between promoter states are memoryless, i.e. promoters spend an exponentially distributed time inte...
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| 出版年: | Bioinformatics |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4492418/ https://ncbi.nlm.nih.gov/pubmed/25573914 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv007 |
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