Gene expression profiling identifies candidate biomarkers for active and latent tuberculosis
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Suppressors of cytokine signaling in tuberculosisRNA Profiling Analysis of the Serum Exosomes Derived from Patients with Active and Latent Mycobacterium tuberculosis InfectionTranscriptomic Biomarkers for Tuberculosis: Evaluation of DOCK9. EPHA4, and NPC2 mRNA Expression in Peripheral Blood.The role of human host genetics in tuberculosis resistance.Meta-analysis of human gene expression in response to Mycobacterium tuberculosis infection reveals potential therapeutic targets.Integrative analysis of Multiple Sclerosis using a systems biology approach.
P2860
Gene expression profiling identifies candidate biomarkers for active and latent tuberculosis
description
2016 nî lūn-bûn
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2016年の論文
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2016年学术文章
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2016年学术文章
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2016年学术文章
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2016年学术文章
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2016年学术文章
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2016年學術文章
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2016年學術文章
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2016年學術文章
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name
Gene expression profiling iden ...... active and latent tuberculosis
@ast
Gene expression profiling iden ...... active and latent tuberculosis
@en
type
label
Gene expression profiling iden ...... active and latent tuberculosis
@ast
Gene expression profiling iden ...... active and latent tuberculosis
@en
prefLabel
Gene expression profiling iden ...... active and latent tuberculosis
@ast
Gene expression profiling iden ...... active and latent tuberculosis
@en
P2093
P2860
P1433
P1476
Gene expression profiling iden ...... active and latent tuberculosis
@en
P2093
Guan-Mau Huang
Julia Tzu-Ya Weng
Kai-Yao Huang
Lawrence Shih-Hsin Wu
Shih-Wei Lee
Tzong-Yi Lee
P2860
P2888
P356
10.1186/S12859-015-0848-X
P478
17 Suppl 1
P577
2016-01-11T00:00:00Z
P5875
P6179
1025305962