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Stability of building gene regulatory networks with sparse autoregressive models
BACKGROUND: Biological networks are constantly subjected to random perturbations, and efficient feedback and compensatory mechanisms exist to maintain their stability. There is an increased interest in building gene regulatory networks (GRNs) from temporal gene expression data because of their numer...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2011
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3278833/ https://ncbi.nlm.nih.gov/pubmed/22373004 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-12-S13-S17 |
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