Visualization-Guided Analysis + Biological Interpretation of OMICs Data in Qlucore

About this Class

In this session we will go over a visual, dynamic, and interactive way to work with OMICs data using public leukemia GEO gene expression data sets. We will approach the data with confirmatory and exploratory analyses angles using DGE, GSEA, network analysis, GO, and data set comparison. Everything is done in a user-friendly, highly visual, and super-fast interface. Presenter: Yana Stackpole, Ph.D. (Qlucore Training and Support) Agenda:

• Benefits and challenges of big data
• Finding differentiating variables and validating your findings
• Functional data analysis using GSEA, NDEx, and GO
• Confirmatory and discovery analyses
• Working with public data: GEO, GREIN, TCGA
• Q&A
• Custom demo