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Network Reconstruction From High-Dimensional Ordinary Differential Equations
We consider the task of learning a dynamical system from high-dimensional time-course data. For instance, we might wish to estimate a gene regulatory network from gene expression data measured at discrete time points. We model the dynamical system nonparametrically as a system of additive ordinary d...
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| Опубликовано в: : | J Am Stat Assoc |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5880569/ https://ncbi.nlm.nih.gov/pubmed/29618851 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2016.1229197 |
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