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Webinar: Pathway analysis with Gene Set Enrichment Analysis (GSEA)
Gene Set Enrichment Analysis (GSEA) is a statistical method that can be used to determine if gene sets are differentially expressed in different phenotypes. Qlucore Omics Explorer has implemented the GSEA method in a generic, fast, and easy to use workbench, ideal for biologists. Learn more in this Webinar.
Webinar: Statistics and Biomarker workbench
In this webinar we will present the statistical methods that are available in Qlucore Omics Explorer and when and how to use them. We will also show how the new Biomarker Workbench makes it possible to run many tests in batch mode and quickly help to identify the most interesting results. There it is also possible to identify correlations between sample annotations, which is extremely useful if you have a large number of e.g. clinical annotations that you would like to investigate.
Webinar: Identify Discriminating Variables
In this webinar we will show three typical workflows for identifying discriminating variables (i.e. differential expressed genes, proteins, metabolites etc) in Qlucore Omics Explorer - using different statistical tests. And also how to visualize results in different plots as well as saving and exporting results as reports and images.
Basic Training: Get started analyzing data
Free online hands-on training. Learn how to easily analyze your experiment data yourself. This is an introduction on how you can explore and analyze experiment data using a highly visual and interactive tool in a number of hands-on exercises. You do not need any previous experience with Qlucore Omics Explorer. Course material and a training license will be sent out prior to the course.