Newsletter: GSEA – a powerful method for data interpretation
Enhance your results by applying the improved Gene Set Enrichment Analysis
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.
Now it is also possible to easily compare Mouse and Rat gene expression data with human pathways (gene sets) using a simple conversion.
A gene set is a collection of genes, present in a pathway, or associated with a specific biological process, disease, or other lists of biologically relevant information. Gene sets are available for download from open online repositories such as MSigDB (Molecular Signatures Database) from Broad Institute.
All gene sets in MSigDB consist of human gene symbols. In Qlucore Omics Explorer 3.8 you can benefit from in-built conversion of variable identifiers using so-called chip files that are provided by Broad Institute.
Title: “Pathway analysis with Gene Set Enrichment Analysis (GSEA)”
Date: March 17th, 2022
Time: 15:00 GMT (+1)
Click here to register for webinar.
Watch the video “Identify pathways using GSEA in Qlucore Omics Explorer”.