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

21 Sept 2016

Abstract excerpt

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 samples were used to identify the differentially expressed genes (DEGs). The protein-protein interaction (PPI)...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 27655333
DOI: 10.1186/s12879-016-1822-6

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