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Predicting transcriptional regulatory interactions with artificial neural networks applied to E. coli multidrug resistance efflux pumps
BACKGROUND: Little is known about bacterial transcriptional regulatory networks (TRNs). In Escherichia coli, which is the organism with the largest wet-lab validated TRN, its set of interactions involves only ~50% of the repertoire of transcription factors currently known, and ~25% of its genes. Of...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2453137/ https://www.ncbi.nlm.nih.gov/pubmed/18565227 http://dx.doi.org/10.1186/1471-2180-8-101 |