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Combining tree-based and dynamical systems for the inference of gene regulatory networks
Motivation: Reconstructing the topology of gene regulatory networks (GRNs) from time series of gene expression data remains an important open problem in computational systems biology. Existing GRN inference algorithms face one of two limitations: model-free methods are scalable but suffer from a lac...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4426834/ https://www.ncbi.nlm.nih.gov/pubmed/25573916 http://dx.doi.org/10.1093/bioinformatics/btu863 |