Machine learning from Pseudomonas aeruginosa transcriptomes identifies independently modulated sets of genes associated with known transcriptional regulators

The transcriptional regulatory network (TRN) of Pseudomonas aeruginosa coordinates cellular processes in response to stimuli. We used 364 transcriptomes (281 publicly available + 83 in-house generated) to reconstruct the TRN of P. aeruginosa using independent component analysis. We identified 104 in...

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Detalles Bibliográficos
Autores principales: Rajput, Akanksha, Tsunemoto, Hannah, Sastry, Anand V, Szubin, Richard, Rychel, Kevin, Sugie, Joseph, Pogliano, Joe, Palsson, Bernhard O
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023270/
https://www.ncbi.nlm.nih.gov/pubmed/35357493
http://dx.doi.org/10.1093/nar/gkac187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023270/
https://www.ncbi.nlm.nih.gov/pubmed/35357493
http://dx.doi.org/10.1093/nar/gkac187

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