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An Unbiased Method for Clustering Bacterial Effectors Using Host Cellular Phenotypes
We present a novel method implementing unbiased high-content morphometric cell analysis to classify bacterial effector phenotypes. This clustering methodology represents a significant advance over more qualitative visual approaches and can also be used to classify, and therefore predict the likely f...
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| Huvudupphovsmän: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
American Society for Microbiology
2014
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3911202/ https://ncbi.nlm.nih.gov/pubmed/24296505 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1128/AEM.03290-13 |
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