This demo session will provide a general understanding of the Oncomine application and underlying data.
• Determine the expression profile of a gene (or multiple genes) across 41 cancer types
• Using Meta-analysis, look for consistency across multiple independent experiments
• Easily identify gene expression patterns in a cancer type/subtype or clinical parameter (e.g. ER- vs. ER+ breast cancer, treatment response, drug sensitivity)
•Case study of target discovery and association with cancer subtypes
With the Oncomine Gene Browser
• Characterize your gene across gene expression, DNA copy number and mutation data from thousands of cancer patient genomes through a simple, dynamic web portal.