run_fgsea: Run fast GSEA implementation
In ggpicrust2: Make 'PICRUSt2' Output Analysis and Visualization Easier
run_fgsea R Documentation
Run fast GSEA implementation
Description
Run fast GSEA implementation
Usage
run_fgsea(ranked_list, gene_sets, nperm = 1000, min_size = 10, max_size = 500)
Arguments
ranked_list
A named vector of ranking statistics
gene_sets
A list of pathway gene sets
nperm
An integer specifying the number of permutations
min_size
An integer specifying the minimum gene set size
max_size
An integer specifying the maximum gene set size
Value
A data frame of fgsea results
ggpicrust2 documentation built on April 13, 2025, 9:08 a.m.
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| run_fgsea | R Documentation |
Run fast GSEA implementation
Description
Run fast GSEA implementation
Usage
run_fgsea(ranked_list, gene_sets, nperm = 1000, min_size = 10, max_size = 500)
Arguments
ranked_list |
A named vector of ranking statistics |
gene_sets |
A list of pathway gene sets |
nperm |
An integer specifying the number of permutations |
min_size |
An integer specifying the minimum gene set size |
max_size |
An integer specifying the maximum gene set size |
Value
A data frame of fgsea results
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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