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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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Detalhes bibliográficos
Publicado no:Nucleic Acids Res
Main Authors: Kim, Junil, T. Jakobsen, Simon, Natarajan, Kedar N, Won, Kyoung-Jae
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7797076/
https://ncbi.nlm.nih.gov/pubmed/33170214
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkaa1014
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