inGSEA
Improved Gene Set Enrichment Analysis · v0.3.0

inGSEA — Ready to analyse

Load expression matrix & gene sets,
configure parameters, then press Run inGSEA.

All computation is local — no data leaves your browser.

Try inGSEA instantly with synthetic data
200 genes · 20 samples (10/10) · 3 pathways

References & Resources
  1. Zhang Q, Li Q (2026). inGSEA: An Improved Method for Gene Set Enrichment Analysis Using a Weighted Integral Statistic. bioRxiv. doi: https://doi.org/10.64898/2026.06.02.729106
  2. Mootha VK, et al. (2003). PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nature Genetics, 34(3), 267–273. doi:10.1038/ng1180
  3. Subramanian A, et al. (2005). Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. PNAS, 102(43), 15545–15550. doi:10.1073/pnas.0506580102
  4. Liberzon A, Subramanian A, Pinchback R, Thorvaldsdóttir H, Tamayo P & Mesirov JP (2011). Molecular Signatures Database (MSigDB) 3.0. Bioinformatics, 27(12), 1739–1740. doi:10.1093/bioinformatics/btr260
  5. Liberzon A, et al. (2015). The Molecular Signatures Database (MSigDB) hallmark gene set collection. Cell Systems, 1(6), 417–425. doi:10.1016/j.cels.2015.12.004

GMT files: MSigDB Collections (CC BY 4.0 for academic use; commercial use requires a separate agreement with the Broad Institute of MIT and Harvard).