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...

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Detalles Bibliográficos
Autores principales: Zhang, Xiujun, Zhao, Juan, Hao, Jin-Kao, Zhao, Xing-Ming, Chen, Luonan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Methods Online
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

Internet

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

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