MGSEA - a multivariate Gene set enrichment analysis.BACKGROUND
 We propose multivariate GSEA (MGSEA) to capture combinatorial relations of gene set enrichment among multiple platform features.  MGSEA successfully captures designed feature relations from simulated data.  We further compare the characteristics of MGSEA with several extensions of GSEA and point out the pros and cons of each method.


 We demonstrated the utility of MGSEA by inferring the combinatorial relations of multiple platforms for cancer subtype delineation in three multi-OMIC datasets: TCGA, METABRIC and REMBRANDT.  MGSEA can be further applied to any genotype-phenotype association problems with multimodal OMIC data.
MGSEA
Gene Set Enrichment Analysis (GSEA) is a powerful tool to identify enriched functional categories of informative biomarkers. 
Gene Set Enrichment Analysis (GSEA)
MGSEA - a multivariate Gene set enrichment analysis.BACKGROUND

multivariate Gene set enrichment analysis