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Using Dynamic Noise Propagation to Infer Causal Regulatory Relationships in Biochemical Networks
[Image: see text] Cellular decision making is accomplished by complex networks, the structure of which has traditionally been inferred from mean gene expression data. In addition to mean data, quantitative measures of distributions across a population can be obtained using techniques such as flow cy...
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| Veröffentlicht in: | ACS Synth Biol |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Chemical
Society
2014
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| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4384829/ https://ncbi.nlm.nih.gov/pubmed/24967515 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/sb5000059 |
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