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Stochastic S-system modeling of gene regulatory network
Microarray gene expression data can provide insights into biological processes at a system-wide level and is commonly used for reverse engineering gene regulatory networks (GRN). Due to the amalgamation of noise from different sources, microarray expression profiles become inherently noisy leading t...
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| Veröffentlicht in: | Cogn Neurodyn |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer Netherlands
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4567998/ https://ncbi.nlm.nih.gov/pubmed/26379803 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-015-9346-0 |
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