Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine perspective.

Background: Worldwide, more than 80% of identified lung cancer cases are associated to the non-small cell lung cancer (NSCLC). We used microarray gene expression dataset GSE10245 to identify key biomarkers and associated pathways in NSCLC.

Results: To collect Differentially Expressed Genes (DEGs) from the dataset GSE10245, we applied the R statistical language.