Hi Ai,
GSEA uses a random number seed to initialize the permutation matrix. This seed is printed on the index page under the comments section. It can be supplied to the Seed for Permutation parameter under the Advanced fields section of GSEA which will cause GSEA to reproduce the previous results exactly. What is happening here is that when GSEA is computing permutations on subsequent runs slightly different genes are getting selected to construct the permuted sets resulting in slightly different scores and thus slightly different pValues/qValues when the true score is tested against those permuted scores. Considering the range between 0.056 and 0.152 with a smaller number of permutations (less sampling from the distribution) and with the 10,000 permutation test returning a score of 0.104 (more sampling from the distribution) the true FDR is probably closer to 0.1, which in Gene Set permutation mode we would probably consider to be only marginally significant. The FDR<0.25 recommendation is generally considered for the more stringent phenotype permutation mode and gene set permutation mode (which is what is used in GSEA Preranked) should generally use the more tradition 0.05 threshold.
-Anthony
Anthony S. Castanza, PhD
Curator, Molecular Signatures Database
Mesirov Lab, Department of Medicine
University of California, San Diego
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