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...

Descripción completa

Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Articles
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

Internet

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

Ejemplares similares