Description Usage Arguments Value Examples
It'll do GSEA Tests for a list of geneSets 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))
1 2 3 | GSEA_gene_multiple(gene_values = rnorm(100), gene_names = 1:100,
geneSet_list = list(set1 = sample(1:100, 10), set2 = sample(1:100, 10)),
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 |
geneSet_list |
A list which contains all of the vector for each geneSet. |
n |
Times for random permuted or bootstraps by genes,default:1000 |
a list contain 4 elements: ES,rand_es, p and ismem
1 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.