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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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| Pubblicato in: | Nucleic Acids Res |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2020
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| Soggetti: | |
| Accesso online: | 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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