Please note that we have stopped the regular imports of Gene Expression Omnibus (GEO) data into ArrayExpress. This may not be the latest version of this experiment.

E-GEOD-31625 - Gene Expression Patterns that Predict Sensitivity to Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors in Lung Cancer Cell Lines and Human Lung Tumors

Status
Released on 31 August 2011, last updated on 13 August 2015
Organism
Homo sapiens
Samples (48)
Array (1)
Protocols (8)
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
Experiment type
transcription profiling by array 
Contacts
Citation
MIAME
PlatformsProtocolsVariablesProcessedRaw
Files
Investigation descriptionE-GEOD-31625.idf.txt
Sample and data relationshipE-GEOD-31625.sdrf.txt
Raw data (1)E-GEOD-31625.raw.1.zip
Processed data (1)E-GEOD-31625.processed.1.zip
Array designA-AFFY-33.adf.txt
Links