View source: R/ontology_topgo.R
simple_topgo | R Documentation |
This will attempt to make it easier to run topgo on a set of genes. The way I organized these data structures is completely stupid. I want to convert the data from topgo to clusterprofiler for ease of plotting, but because of the terrible way I organized everything that is likely to be difficult.
simple_topgo(
sig_genes,
goid_map = "id2go.map",
go_db = NULL,
pvals = NULL,
limitby = "fisher",
limit = 0.1,
signodes = 100,
sigforall = TRUE,
numchar = 300,
selector = "topDiffGenes",
pval_column = "deseq_adjp",
overwrite = FALSE,
densities = FALSE,
pval_plots = TRUE,
excel = NULL,
...
)
sig_genes |
Data frame of differentially expressed genes, containing IDs any other columns. |
goid_map |
File containing mappings of genes to goids in the format expected by topgo. |
go_db |
Data frame of the goids which may be used to make the goid_map. |
pvals |
Set of pvalues in the DE data which may be used to improve the topgo results. |
limitby |
Test to index the results by. |
limit |
Ontology pvalue to use as the lower limit. |
signodes |
I don't remember right now. |
sigforall |
Provide the significance for all nodes? |
numchar |
Character limit for the table of results. |
selector |
Function name for choosing genes to include. |
pval_column |
Column from which to acquire scores. |
overwrite |
Yeah I do not remember this one either. |
densities |
Densities, yeah, the densities... |
pval_plots |
Include pvalue plots of the results a la clusterprofiler? |
excel |
Print the results to an excel file? |
... |
Other options which I do not remember right now! |
Big list including the various outputs from topgo
[topGO]
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