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Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome
The transcriptional regulatory network (TRN) of Bacillus subtilis coordinates cellular functions of fundamental interest, including metabolism, biofilm formation, and sporulation. Here, we use unsupervised machine learning to modularize the transcriptome and quantitatively describe regulatory activi...
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| Publicado no: | Nat Commun |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7732839/ https://ncbi.nlm.nih.gov/pubmed/33311500 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-20153-9 |
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