Using Network Visualization to Interpret Pathway Enrichment Analysis: Cytoscape, Enrichment Map, WordCloud, and AutoAutoannotate
Registration is required. Please click here to register. Attendance in-person
Most omics (e.g., transcriptomics, proteomics, metabolomics) data analysis included a pathway enrichment analysis. These are redundant, as genes often participate in multiple pathways, biological processes, and other signatures. In addition, databases may organize pathways or biological processes hierarchically by including general and specific ones with many shared genes (e.g.,). Consequently, enrichment analysis often highlights several versions of the same pathway, biological process, etc. Collapsing redundant pathways into a single biological theme simplifies the interpretation of results. Visualization can help identify the main biological themes and their relationships for in-depth study and experimental evaluation. During the session, we will use a tutorial dataset that will be made available to all the registrants.
The goals of the session are:
- Learn how to prepare enrichment analysis results for visualization on Enrichment Map
- Learn how to use Enrichment Map to visualize enrichment analysis results as a network.
- How to cluster and find main topics using AutoAnnotate.
- Learn how to annotate clusters using WordCloud.
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