GSM1360854[Accession] - GEO DataSets

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Items: 3

Select item 2000563961.

Non-invasive Analysis of the Airway Transcriptome Discriminates Clinical Phenotypes of Asthma

(Submitter supplied) Evaluation of the airway transcriptome may reveal patterns of gene expression that are associated with clinical phenotypes of asthma. To define transcriptomic endotypes of asthma (TEA) we analyzed gene expression in induced sputum that correlate with phenotypes of disease. Gene expression was measured in sputum of subjects with asthma using Affymetrix HuGene ST 1.0 microarrays. Unsupervised clustering analysis of genes identified TEA clusters. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL6244
112 Samples

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Accession:: GSE56396

ID:: 200056396

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 1000062442.

[HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array [transcript (gene) version]

(Submitter supplied) Affymetrix submissions are typically submitted to GEO using the GEOarchive method described at http://www.ncbi.nlm.nih.gov/projects/geo/info/geo_affy.html June 03, 2009: annotation table updated with netaffx build 28 June 18, 2012: annotation table updated with netaffx build 32 July 01, 2016: annotation table updated with netaffx build 35 Protocol: See manufacturer's web site