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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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| Veröffentlicht in: | Nucleic Acids Res |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2020
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| Schlagworte: | |
| Online Zugang: | 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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