GSEA_gene_single: Do GSEA for a single geneSet based on random permuted or...
In jmzeng1314/geneSet:

Description Usage Arguments Value Examples

It'll do GSEA Tests for a single geneSet according to the signal 2 noise values for all of the genes or other values,such as foldchange. It'll return ES ,the running ES score for all of the genes, a numeric vector . rand_es ,the maximal running ES score for each permutation, a numeric vector. p which calculated by formule:p <- 1-pnorm((max(ES)-mean(rand_es))/sd(rand_es)) ismem is a logical vector shows whether the gene belong to the current geneSet or not.

1 2	GSEA_gene_single(gene_values = rnorm(100), gene_names = 1:100, this_geneSet = sample(1:100, 10), geneSet_name = "geneset1", n = 1000)

`gene_values`	A vector of values for each gene,most of time it's signal 2 noise.
`gene_names`	A vector of names for each gene
`this_geneSet`	A vector which contains all of the genes in this geneSet.
`n`	Times for random permuted or bootstraps by genes,default:1000
`this_geneSet`	The name of current geneSet,default:geneset1