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Multiomics data integration unveils core transcriptional regulatory networks governing cell-type identity
A plethora of computational approaches have been proposed for reconstructing gene regulatory networks (GRNs) from gene expression data. However, gene regulatory processes are often too complex to predict from the transcriptome alone. Here, we present a computational method, Moni, that systematically...
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| Veröffentlicht in: | NPJ Syst Biol Appl |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7445234/ https://ncbi.nlm.nih.gov/pubmed/32839455 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41540-020-00148-4 |
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