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Identifying essential genes in bacterial metabolic networks with machine learning methods
BACKGROUND: Identifying essential genes in bacteria supports to identify potential drug targets and an understanding of minimal requirements for a synthetic cell. However, experimentally assaying the essentiality of their coding genes is resource intensive and not feasible for all bacterial organism...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2874528/ https://www.ncbi.nlm.nih.gov/pubmed/20438628 http://dx.doi.org/10.1186/1752-0509-4-56 |