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Diagnostic host gene signature for distinguishing enteric fever from other febrile diseases
Misdiagnosis of enteric fever is a major global health problem, resulting in patient mismanagement, antimicrobial misuse and inaccurate disease burden estimates. Applying a machine learning algorithm to host gene expression profiles, we identified a diagnostic signature, which could distinguish cult...
Autores principales: | Blohmke, Christoph J, Muller, Julius, Gibani, Malick M, Dobinson, Hazel, Shrestha, Sonu, Perinparajah, Soumya, Jin, Celina, Hughes, Harri, Blackwell, Luke, Dongol, Sabina, Karkey, Abhilasha, Schreiber, Fernanda, Pickard, Derek, Basnyat, Buddha, Dougan, Gordon, Baker, Stephen, Pollard, Andrew J, Darton, Thomas C |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783646/ https://www.ncbi.nlm.nih.gov/pubmed/31468702 http://dx.doi.org/10.15252/emmm.201910431 |
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