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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Detalles Bibliográficos
Autores principales: Rychel, Kevin, Sastry, Anand V., Palsson, Bernhard O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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

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