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

Xue-Bing Qin1, Wei-Jue Zhang2,3, Lin Zou4

  • 1Nanlou Respiratory Diseases Department, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing, 100853, China.

BMC Infectious Diseases
|September 23, 2016
PubMed
Abstract

Keywords:
Bioinformatics analysisBiomarkerDifferentially expressed genesMycobacterium tuberculosisPulmonary tuberculosis

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