e-learning
Multiomics data analysis using MultiGSEA
Abstract
The multiGSEA package was designed to run a robust GSEA-based pathway enrichment for multiple omics layers (Canzler and Hackermüller, 2020). The enrichment is calculated for each omics layer separately and aggregated p-values are calculated afterwards to derive a composite multi-omics pathway enrichment.
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- How to use MultiGSEA for GSEA-based pathway enrichment for multiple omics layers?
Learning Objectives
- Perform GSEA-based pathway enrichment for transcriptomics, proteomics, and metabolomics data.
- Understand how to combine p-values across multiple omics layers.
Licence: Creative Commons Attribution 4.0 International
Keywords: Proteomics, metabolomics, multi-omics, proteomics, transcriptomics
Target audience: Students
Resource type: e-learning
Version: 2
Status: Active
Prerequisites:
Introduction to Galaxy Analyses
Learning objectives:
- Perform GSEA-based pathway enrichment for transcriptomics, proteomics, and metabolomics data.
- Understand how to combine p-values across multiple omics layers.
Date modified: 2025-03-11
Date published: 2025-03-10
Scientific topics: Proteomics
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