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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732839/ https://www.ncbi.nlm.nih.gov/pubmed/33311500 http://dx.doi.org/10.1038/s41467-020-20153-9 |