In this webinar we will provide examples of challenges that you might face during high-dimensional data analysis and we will teach you how to address those challenges with FCS Express and OMIQ.
We will also cover data pre-processing, addressing strategies for scaling, downsampling, cleaning, and discussing ways to avoid batch effects. Additionally, we will discuss dimensionality reduction and clustering algorithms, familiarizing attendees with how to perform, tune, and interpret results from UMAP and FlowSOM.