Topics Covered
- Data mining: gene fusion detection, differential expression, GSEA, pathway analysis
Practical
- DESeq normalization
- Principal Component Analysis (PCA)
- Differential Expression (DE) Analysis
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Plots to visualize DE results
- Clustering and visualization of gene expression
- Hierarchical clustering using the GenePattern module and R
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Gene set and pathway enrichment analysis with GSEA and GSVA
- Identification of gene fusion