Many Ingenuity Pathway Analysis (IPA) users have requested a deeper dive into IPA core analysis (also known as expression analysis - performed on RNA-seq, scRNA-seq, proteomics and many other omics data). Users have specifically requested to cover topics like causal networks, regulator effects etc. in more details.

Accordingly, this training will focus on below topics and more.

· What are different result types produced by an IPA core analysis?

· What are the differences between causal network vs. mechanistic network vs. regulator effects?

· How is activity prediction done in IPA? What is a Z-score?

· What is the new bubble plot feature?

· How does a user edit, expand, and modify the network to his/her liking? (Example add a disease or gene(s) of interest, remove certain connections etc.)