Identification potential biomarkers in pulmonary tuberculosis and latent infection based on bioinformatics analysis

BACKGROUND: The study aimed to identify the potential biomarkers in pulmonary tuberculosis (TB) and TB latent infection based on bioinformatics analysis. METHODS: The microarray data of GSE57736 were downloaded from Gene Expression Omnibus database. A total of 7 pulmonary TB and 8 latent infection s...

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Detalles Bibliográficos
Autores principales: Qin, Xue-Bing, Zhang, Wei-Jue, Zou, Lin, Huang, Pei-Jia, Sun, Bao-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031349/
https://www.ncbi.nlm.nih.gov/pubmed/27655333
http://dx.doi.org/10.1186/s12879-016-1822-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031349/
https://www.ncbi.nlm.nih.gov/pubmed/27655333
http://dx.doi.org/10.1186/s12879-016-1822-6

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