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An integrated machine learning approach for predicting DosR-regulated genes in Mycobacterium tuberculosis
BACKGROUND: DosR is an important regulator of the response to stress such as limited oxygen availability in Mycobacterium tuberculosis. Time course gene expression data enable us to dissect this response on the gene regulatory level. The mRNA expression profile of a regulator, however, is not necess...
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Huvudupphovsmän: | , , , |
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Materialtyp: | Artigo |
Språk: | Inglês |
Publicerad: |
BioMed Central
2010
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Ämnen: | |
Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2867773/ https://ncbi.nlm.nih.gov/pubmed/20356371 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1752-0509-4-37 |
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