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Robust data-driven incorporation of prior knowledge into the inference of dynamic regulatory networks
Motivation: Inferring global regulatory networks (GRNs) from genome-wide data is a computational challenge central to the field of systems biology. Although the primary data currently used to infer GRNs consist of gene expression and proteomics measurements, there is a growing abundance of alternate...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2013
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3624811/ https://www.ncbi.nlm.nih.gov/pubmed/23525069 http://dx.doi.org/10.1093/bioinformatics/btt099 |