Description Usage Arguments Value Note See Also Examples
dGSEAwrite is supposed to write out enrichment results.
| 1 2 3 4 5 6 7 8 9 | dGSEAwrite(
eTerm,
which_content = c("gadjp", "adjp", "pvalue", "FWER", "FDR", "qvalue",
"nES", "ES"),
which_score = c("gadjp", "adjp", "FWER", "FDR", "qvalue", "nES"),
cutoff = 0.1,
filename = NULL,
keep.significance = T
)
 | 
| eTerm | an object of class "eTerm" | 
| which_content | the content will be written out. It includes two categories: i) based on "adjp" for adjusted p value, "gadjp" for globally adjusted p value, "pvalue" for p value, "FWER" for family-wise error rate, "FDR" for false discovery rate, "qvalue" for q value; ii) based on "ES" for enrichment score, "nES" for normalised enrichment score. For the former, the content is : first -1*log10-transformed, and then multiplied by -1 if nES is negative. | 
| which_score | which statistics/score will be used for declaring the significance. It can be "adjp" for adjusted p value, "gadjp" for globally adjusted p value, "FWER" for family-wise error rate, "FDR" for false discovery rate, "qvalue" for q value | 
| cutoff | a cutoff to declare the signficance. It should be used together with 'which_score' | 
| filename | a character string naming a filename | 
| keep.significance | logical to indicate whether or not to mask those insignfiicant by NA. By default, it sets to true to mask those insignfiicant by NA | 
a data frame with following components:
setID: term ID
setSize: the number of genes in the set
name: term name
namespace: term namespace
distance: term distance
sample names: sample names in the next columns
If "filename" is not NULL, a tab-delimited text file will be also written out.
| 1 | #output <- dGSEAwrite(eTerm, which_content="gadjp", which_score="gadjp", filename="eTerm.txt")
 | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.