Fingerprint | R Documentation |
The aim of this function is to create a visual representation of gene set enrichment results from differential gene expression analysis.
Fingerprint(
res_dgsaseq,
datalog2FC,
genesets = "Chaussabel",
category = "immune",
time = NULL,
alpha = 0.05,
title = NULL,
max_size = 8,
size_y_lab = 9,
order_by_pvals = FALSE,
interactive.plot = FALSE
)
res_dgsaseq |
an object of |
datalog2FC |
a data.frame with genes in rownames and if (time == NULL) 1 column with Fold Change else several columns are allowed but colnames must contain time's string characters. |
genesets |
a string character "BTM" or "Chaussabel" to use genesets included or an other gmt object. Default is |
category |
a string character or vector. Only needed if |
time |
a string character to filter on time. This time must be present on |
alpha |
a numeric corresponding to type 1 error threshold. Default value is |
title |
a string character for plot's title. Default is |
max_size |
a numeric corresponding to the maximum size of point. Default is |
size_y_lab |
labsize for non-interactive plot, can be useful to set to 0 to combine several plots |
order_by_pvals |
a logical indicating to order genesets per pvalue left to right. Default is |
interactive.plot |
a logical indicating whether the plot will be interactive, recommended if order_by_pvals is |
a ggplot
object
Mélanie Huchon & Quentin Laval
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