Why: Comparing gene expression profiles from differing forms of brain cancer is important in identifying commonly and uniquely expressed genes that can lead to new biomarkers for disease stratification or treatment targets. In this webinar, we will use enrichment analysis and network building in MetaCore to analysis gene expression data from histological samples for glioblastoma, astrocytoma, and oligodendrioglioma using GSE12657 (expression data from of human glioma samples) as the input data to answer these questions:
- What differentially expressed genes are common or unique between these types of brain tumors? What signaling pathways will be impacted by these changes?
- Are there any gene signatures unique to glioblastoma that might be interesting for further exploration? Could some of these unique genes make interesting biomarkers or drug targets?
Register for MetaCore access from HSLS MolBio here
