QIAGEN IPA - Discoveries from deep curated public gene and protein expression...
Description
This is a special session put together based on some of the questions we received in recent trainings. IPA allows you to take advantage of deep curate public data from sources such as GEO, GTEx, CPTAC, TCGA and more. This training will focus on below 2 questions mainly but possibly others we receive through the registration and during the live session.
1) How to locate pathway analysis of a deep curated public dataset? Example I am interested in 'disease vs normal' or 'treated vs untreated' or 'cell type 1 vs others' comparison from a study. How can I launch pathway analysis of such dataset through IPA project search?
2) I also want to investigate such studies and consortia at sample expression level. Example how is a specific gene or protein expressed in disease1 vs disease 2 vs normal tissue or treated vs untreated samples? For 2 genes can we generate a correlation plot?
The training may last only ~60min but reserving longer time in case we receive additional questions.
United States
