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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...

詳細記述

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書誌詳細
出版年:BMC Infect Dis
主要な著者: Qin, Xue-Bing, Zhang, Wei-Jue, Zou, Lin, Huang, Pei-Jia, Sun, Bao-Jun
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5031349/
https://ncbi.nlm.nih.gov/pubmed/27655333
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12879-016-1822-6
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