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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...
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2010
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2874528/ https://ncbi.nlm.nih.gov/pubmed/20438628 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1752-0509-4-56 |
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