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Title: Gene Expression Patterns that Predict Sensitivity to Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors in Lung Cancer Cell Lines and Human Lung Tumors      
dateReleased:
08-31-2011
description:
Global gene expression data were generated from cultured non small cell lung cancer cell lines (NSCLC), normalized using MAS 5.0, filtered and used to predict response of cells to EGFR inhibition Gene expression data from additional cell lines and tumors was used to validate the predictive algorithm Total RNA was prepared from NSCLC cell lines and applied to Affymetric U133 2.0 microarrays
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-31625
refinement:
raw
alternateIdentifiers:
31625
keywords:
functional genomics
dateModified:
08-13-2015
availability:
available
types:
gene expression
name:
Homo sapiens
ID:
A-AFFY-33
name:
Affymetrix GeneChip Human Genome HG-U133A [HG-U133A]
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-31625/E-GEOD-31625.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-31625/E-GEOD-31625.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31625
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress
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