IPA and Correlation Engine - A Comprehensive Approach to Pathway Enrichment Analysis

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In this engaging workshop, you will learn how to analyze differentially expressed genes (DEG) associated with genome-scale experiments, such as RNA-Seq gene expression studies, and gain mechanistic insights using Ingenuity Pathway Analysis and Correlation Engine software.

Upon completing this class, you should be able to:
  • Retrieve a list of DEGs associated with genome-scale experiments (e.g., "treatment vs. control," "tumor vs. normal," or "infected vs. mock") by searching gene expression data repositories (NCBI GEO)
  • Gain mechanistic insights by identifying statistically overrepresented terms (biological functions, molecular processes, diseases, etc.) and pathways present in the DEG list
  • Predict upstream causal regulators (transcription factors, miRNA, etc.)
  • Retrieve datasets from GEO that exhibit similar or opposite gene expression profiles
See more learning options on this topic: Pathway Enrichment Analysis