Pathway Analysis vs Gene Set Analysis: What is the Difference and When Should I Use Each? - Advaita Bioinformatics
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles | PNAS
What is Gene Set Enrichment Analysis (GSEA)? - ExpressAnalyst - OmicsForum
The statistical properties of gene-set analysis | Nature Reviews Genetics
iDEA | Integrative Differential Expression and Gene Set Enrichment Analysis Using Summary Statistics for Single Cell RNAseq Studies
Gene Set Enrichment Analysis in R/Bioconductor - physalia-courses
IJMS | Free Full-Text | Gene Expression Profile of Human Mesenchymal Stromal Cells Exposed to Hypoxic and Pseudohypoxic Preconditioning—An Analysis by RNA Sequencing
gene set enrichment analysis (GSEA) | Lisa K. Johnson
How to use GSEApy for pathway enrichment analysis | by Kuan Rong Chan, Ph.D. | Omics Diary | Medium
NGSEA - Network-augmented Gene Set Enrichment Analysis
How to Perform Gene Set Enrichment Analysis
GScluster: network-weighted gene-set clustering analysis | BMC Genomics | Full Text
GSAASeqSP: A Toolset for Gene Set Association Analysis of RNA-Seq Data | Scientific Reports
Gene set analysis - GSEA and Fisher's exact test - YouTube
Entropy | Free Full-Text | Fifteen Years of Gene Set Analysis for High-Throughput Genomic Data: A Review of Statistical Approaches and Future Challenges
Enrichment analysis: A short introduction to the core concepts of gene set enrichment analysis - YouTube
How to do Gene Set Enrichment Analysis (GSEA) in R
Frontiers | Immunologic Gene Sets Reveal Features of the Tumor Immune Microenvironment and Predict Prognosis and Immunotherapy Response: A Pan-Cancer Analysis
GSEA
Enrichment Map: A Network-Based Method for Gene-Set Enrichment Visualization and Interpretation | PLOS ONE
How to Perform Gene Set Enrichment Analysis
Frontiers | Gene Set Analysis: Challenges, Opportunities, and Future Research
Gene set enrichment analysis identified pathways and genes significantly altered in Cxcr4 KO mice.
Signature-scoring methods developed for bulk samples are not adequate for cancer single-cell RNA sequencing data | eLife
