Bioinformatics tutorial: Gene Set Enrichment Analysis ( GSEA) Tutorial in R | Bioinformatics for Beginners
Gene expression Analysis
Video Description:
Welcome to our detailed tutorial on Gene Set Enrichment Analysis (GSEA) using R! This bioinformatics tutorial is designed to guide you through the process of performing GSEA, from start to finish, making it perfect for both bioinformaticians and beginners in the field.
#geneexpression
🔬 *What You'll Learn:*
Introduction to GSEA and its importance in bioinformatics
Step-by-step installation of necessary R packages
Preparing your data for GSEA
Running GSEA in R using the `fgsea` and `clusterProfiler` libraries
Interpreting GSEA results
Visualizing GSEA outcomes for publication-quality figures

📊 *Who Is This Video For?*
Bioinformatics beginners looking to understand GSEA
Experienced bioinformaticians seeking a refresher on GSEA in R
Researchers and students in genomics or DNA, transcriptomics or RNA, and related fields

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Thank you for watching, and happy analyzing!

#GSEA #BioinformaticsTutorial #RProgramming #fgsea #clusterProfiler #bioinformatics #mrbioinformatix #geneexpression #deseq2 #genesetenrichmentanalysis

Documentation:
1. https://learn.gencore.bio.nyu.edu/rna...
2. https://yulab-smu.top/biomedical-know...

3. https://www.genepattern.org/modules/d...

4. https://www.gsea-msigdb.org/gsea/doc/...

5. https://www.genepattern.org/modules/d...


Differential Gene Expression Analysis With DESeq2:
   • Differential Gene Expression Analysis...  

#GSEA #clusterProfiler #Bioinformatics #GeneSetEnrichmentAnalysis #dnaanalysis #geneexpression #bioinformaticsforbeginners #fgsea #bioinformaticstutorial

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