Not sure what to do with Regulator Effects and Interaction Networks in IPA? After you conduct an IPA Core Analysis on your ‘omic dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more), start using the Regulator Effects and Interaction Networks results to interpret your data and generate hypotheses.

We’ll cover:

- Regulator Effects: These causal and directional networks connect major regulators with downstream diseases and biological functions

- Interaction Networks: These networks focus on the interconnectivity of molecules (genes, proteins, metabolites etc.) in your dataset