Description
Methods for extracting relevant biological information from expression profiles mostly rely on individual genetic expressions. Consequently, these methods are suboptimal in detecting small differences within the pathways that in aggregate result in a large multivariate effect. We propose Multivariate Pathway Enrichment Analysis (MPEA). MPEA harnesses the power of multivariate association to identify the subtle associations between genetic pathways and phenotype of choice. A reference is available at https://github.com/alekseyenko/MPEA.
Learning Objective: Pathway enrichment analysis. multivariate data analysis.
Authors:
Ali Shojaee Bakhtiari (Presenter)
Medical University of South Carolina
Kristin wallace, Medical University of South Carolina
Alexander Alekseyenko, Medical University of South Carolina
Presentation Materials: