Gene Regulatory Network Inference from Single-Cell Data Using Multivariate Information Measures

While single-cell gene expression experiments present new challenges for data processing, the cell-to-cell variability observed also reveals statistical relationships that can be used by information theory. Here, we use multivariate information theory to explore the statistical dependencies between...

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Detalles Bibliográficos
Autores principales: Chan, Thalia E., Stumpf, Michael P.H., Babtie, Ann C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624513/
https://www.ncbi.nlm.nih.gov/pubmed/28957658
http://dx.doi.org/10.1016/j.cels.2017.08.014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624513/
https://www.ncbi.nlm.nih.gov/pubmed/28957658
http://dx.doi.org/10.1016/j.cels.2017.08.014

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