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Parametric and non-parametric gradient matching for network inference: a comparison
BACKGROUND: Reverse engineering of gene regulatory networks from time series gene-expression data is a challenging problem, not only because of the vast sets of candidate interactions but also due to the stochastic nature of gene expression. We limit our analysis to nonlinear differential equation b...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346534/ https://www.ncbi.nlm.nih.gov/pubmed/30683048 http://dx.doi.org/10.1186/s12859-018-2590-7 |