Did I find the right examples for you? yes no

All Samples(3)  |  Call(3)  |  Derive(0)  |  Import(0)

src/o/r/Orange-Bioinformatics-2.5.25/docs/rst/reference/code/gsea_instances.py   Orange-Bioinformatics(Download)
 
#the number of permutations (n) should be much higher
res = gsea.run(data, gene_sets=genesets, matcher=matcher, 
    min_part=0.05, permutation="phenotype", n=10, 
    phen_desc=data.domain["tissue"], gene_desc=True) 

src/o/r/Orange-Bioinformatics-2.5.25/docs/rst/reference/code/gsea_genes.py   Orange-Bioinformatics(Download)
 
#the number of permutations (n) should be much higher
res = gsea.run(data, gene_sets=genesets, matcher=matcher, 
    min_part=0.05, permutation="phenotype", n=10, 
    phen_desc="tissue", gene_desc="gene") 

src/o/r/Orange-Bioinformatics-2.5.25/docs/rst/reference/code/gsea1.py   Orange-Bioinformatics(Download)
    ]))
 
res = Orange.bio.gsea.run(data, gene_sets=gen1, matcher=Orange.bio.gene.matcher([]), min_size=2)
print "%5s  %6s %6s %s" % ("LABEL", "NES", "P-VAL", "GENES")
for gs,resu in res.items():