heatplot: Plot heatmap for genes from goana/kegga analysis
In alexvpickering/revigoR: Scrape revigo webapp and plot results
Description
Usage
Arguments
Value
Examples
Description
modified from enrichplot
Usage
1
heatplot(path_res)
Arguments
path_res
data.frame, result of limma::goana or limma::kegga with
significant genes for each pathway added by add_path_genes.
Value
ggplot object.
Examples
1
2
3
4
5
6
7
8
# plot pathways merged by revigo under inflammatory response
data(go_up1)
data_dir <- tempdir()
scrape_revigo(data_dir, go_up1)
revigo_res <- read.csv(file.path(data_dir, 'rsc.csv'), row.names = 1, stringsAsFactors = FALSE)
go_infl <- row.names(revigo_res)[revigo_res$representative == 6954]
heatplot(go_up1[go_infl, ])
alexvpickering/revigoR documentation built on March 17, 2021, 8:09 p.m.
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Description Usage Arguments Value Examples
Description
modified from enrichplot
Usage
1 | heatplot(path_res)
|
Arguments
path_res |
data.frame, result of |
Value
ggplot object.
Examples
1 2 3 4 5 6 7 8 | # plot pathways merged by revigo under inflammatory response
data(go_up1)
data_dir <- tempdir()
scrape_revigo(data_dir, go_up1)
revigo_res <- read.csv(file.path(data_dir, 'rsc.csv'), row.names = 1, stringsAsFactors = FALSE)
go_infl <- row.names(revigo_res)[revigo_res$representative == 6954]
heatplot(go_up1[go_infl, ])
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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