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Abstract:
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Gene set analysis considers whether genes that form a set from a specific biological standpoint, also behave in a related way. It is commonly used in high throughput genomic experiments to help with interpretability of results. The cross referencing of genes to both sets and phenotypic variation is very powerful. Creative definition of sets has allowed combined analysis and interpretation of very disparate sources of knowledge. In this presentation I will provide a brief review of concepts, our ongoing research on models for gene set analysis, and remaining challenges. I will also present in some more detail an R tool called funcBox that facilitates "comparative gene set analysis" by allowing users to simultaneously analyze and visualize multiple gene set analyses performed on related comparisons or experiments.
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