View source: R/ontology_gprofiler.R
simple_gprofiler_old | R Documentation |
Thank you Ginger for showing me your thesis, gProfiler is pretty cool!
simple_gprofiler_old(
sig_genes,
species = "hsapiens",
convert = TRUE,
first_col = "logFC",
second_col = "limma_logfc",
do_go = TRUE,
do_kegg = TRUE,
do_reactome = TRUE,
do_mi = TRUE,
do_tf = TRUE,
do_corum = TRUE,
do_hp = TRUE,
significant = TRUE,
pseudo_gsea = TRUE,
id_col = "row.names",
excel = NULL
)
sig_genes |
Guess! The set of differentially expressed/interesting genes. |
species |
Organism supported by gprofiler. |
convert |
Use gProfileR's conversion utility? |
first_col |
First place used to define the order of 'significant'. |
second_col |
If that fails, try a second column. |
do_go |
Perform GO search? |
do_kegg |
Perform KEGG search? |
do_reactome |
Perform reactome search? |
do_mi |
Do miRNA search? |
do_tf |
Search for transcription factors? |
do_corum |
Do corum search? |
do_hp |
Do the hp search? |
significant |
Only return the statistically significant hits? |
pseudo_gsea |
Is the data in a ranked order by significance? |
id_col |
Which column in the table should be used for gene ID crossreferencing? gProfiler uses Ensembl ids. So if you have a table of entrez or whatever, translate it! |
excel |
Print the results to an excel file? |
List of results for go, kegg, reactome, and a few more.
[gProfiler]
## Not run:
gprofiler_is_nice_and_easy <- simple_gprofiler(genes, species='mmusculus')
## End(Not run)
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