This is the new GSEA.
We reimplemented the S0 and S0a algorithms.
They run 1,000 times faster, reproduce all results, and create prettier plots.
We also implemented a new D2 algorithm.
It uses information theory to deliver the most accurate, interpretable, and robust gene-set scores.
Download the latest release, extract it, and find the executable at gsea/bin/gsea.
Or clone this repository and build
git clone https://github.com/GSEA-MSigDB/GSEA.jl
cd GSEA.jl
julia --project deps/build.jl app tarball
# Find the executable at `build/gsea/bin/gsea`.gsea --helpRun the sarcopenia example
gsea metric-rank \
~/Downloads \
in/ex.target.tsv \
in/ex.data.tsv \
in/ex.set.json \
--number-of-permutations 10 \
--more-plots "WP_DNA_MISMATCH_REPAIR;WP_CELL_CYCLE"If you have any questions, issues, or concerns, feel free to open a GitHub issue.
Every report helps make GSEA better.
Made by Kata ✅
