A tuberculosis ontology for host systems biology - Wikidata - wikimedia - TriplyDB

A tuberculosis ontology for host systems biology

A tuberculosis ontology for host systems biology

http://www.wikidata.org/entity/Q28608270

about

Hypoxia Sensing and Persistence Genes Are Expressed during the Intragranulomatous Survival of Mycobacterium tuberculosis.Non-pathological infection of macaques by an attenuated mycobacterial vaccine is not reactivated in the setting of HIV coinfection.

P2860

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P2860

A tuberculosis ontology for host systems biology

http://www.wikidata.org/entity/Q28608270

description

2015 nî lūn-bûn

@nan

2015 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած

@hyw

2015 թվականի սեպտեմբերին հրատարակված գիտական հոդված

@hy

2015年の論文

@ja

2015年学术文章

@wuu

2015年学术文章

@zh-cn

2015年学术文章

@zh-hans

2015年学术文章

@zh-my

2015年学术文章

@zh-sg

2015年學術文章

@yue

name

A tuberculosis ontology for host systems biology

@ast

A tuberculosis ontology for host systems biology

@en

A tuberculosis ontology for host systems biology

@nl

type

label

A tuberculosis ontology for host systems biology

@ast

A tuberculosis ontology for host systems biology

@en

A tuberculosis ontology for host systems biology

@nl

prefLabel

A tuberculosis ontology for host systems biology

@ast

A tuberculosis ontology for host systems biology

@en

A tuberculosis ontology for host systems biology

@nl

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J.TUBE.2015.05.012

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P1476

A tuberculosis ontology for host systems biology

@en

P2093

Charles Scanga

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David M Levine

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Deepak Kaushal

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Josh Eckels

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Petros C Karakousis

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Smriti Mehra

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P2860

LabKey Server: an open source platform for scientific data integration, analysis and collaboration

Gene Expression Omnibus: NCBI gene expression and hybridization array data repository

Down-regulation of vascular endothelial growth factor and up-regulation of pigment epithelium-derived factor: a possible mechanism for the anti-angiogenic activity of plasminogen kringle 5

Microarray data normalization and transformation

An interferon-inducible neutrophil-driven blood transcriptional signature in human tuberculosis

Tackling the widespread and critical impact of batch effects in high-throughput data

Identification of biomarkers for tuberculosis susceptibility via integrated analysis of gene expression and longitudinal clinical data.

Identification of tuberculosis susceptibility genes with human macrophage gene expression profiles.

Characterization of a novel necrotic granuloma model of latent tuberculosis infection and reactivation in mice.

NCBI GEO standards and services for microarray data.

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570-574

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scholarly article

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10.1016/J.TUBE.2015.05.012

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5

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95

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Noton Kumar Dutta

Catherine M Stein

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2015-09-01T00:00:00Z

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279634992

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26190839

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infectious disease

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4554888

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