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...

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Detalles Bibliográficos
Autores principales: Dony, Leander, He, Fei, Stumpf, Michael P. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
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

Internet

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

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