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Are Quasi-Steady-State Approximated Models Suitable for Quantifying Intrinsic Noise Accurately?
Large gene regulatory networks (GRN) are often modeled with quasi-steady-state approximation (QSSA) to reduce the huge computational time required for intrinsic noise quantification using Gillespie stochastic simulation algorithm (SSA). However, the question still remains whether the stochastic QSSA...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4556639/ https://ncbi.nlm.nih.gov/pubmed/26327626 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0136668 |
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