TENET: gene network reconstruction using transfer entropy reveals key regulatory factors from single cell transcriptomic data

Accurate prediction of gene regulatory rules is important towards understanding of cellular processes. Existing computational algorithms devised for bulk transcriptomics typically require a large number of time points to infer gene regulatory networks (GRNs), are applicable for a small number of gen...

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Detalles Bibliográficos
Autores principales: Kim, Junil, T. Jakobsen, Simon, Natarajan, Kedar N, Won, Kyoung-Jae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797076/
https://www.ncbi.nlm.nih.gov/pubmed/33170214
http://dx.doi.org/10.1093/nar/gkaa1014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797076/
https://www.ncbi.nlm.nih.gov/pubmed/33170214
http://dx.doi.org/10.1093/nar/gkaa1014

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