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Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks
Mutual information (MI), a quantity describing the nonlinear dependence between two random variables, has been widely used to construct gene regulatory networks (GRNs). Despite its good performance, MI cannot separate the direct regulations from indirect ones among genes. Although the conditional mu...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4357691/ https://www.ncbi.nlm.nih.gov/pubmed/25539927 http://dx.doi.org/10.1093/nar/gku1315 |