Visualization-guided Analysis and Interpretation of Omics Data in Qlucore

About this Class

Register Presenter: Yana Stackpole, PhD (Qlucore Training and Support) Description: In this session we will go over a visual, dynamic and interactive way to work with OMICs data using public leukemia GEO gene expression datasets. We will approach the data with confirmatory and exploratory analyses angles using DGE, GSEA, GO, and dataset comparison. Everything is done in a user-friendly, highly visual and super-fast interface. Agenda: Benefits and Challenges of big data Finding differentiating variables. Validating your findings Functional data analysis using GSEA and GO Confirmatory and Discovery analyses Working with public data – GEO, TCGA. Q&A Custom demo For questions please contact Daoud Meerzaman