The goal of iSEEpathways is to provide panels to facilitate the interactive visualisation of pathway analysis results in iSEE applications.
Get the latest stable R release from CRAN. Then install iSEEpathways from Bioconductor using the following code:
if (!requireNamespace("BiocManager", quietly = TRUE)) {
install.packages("BiocManager")
}
BiocManager::install("iSEEpathways")
And the development version from GitHub with:
BiocManager::install("iSEE/iSEEpathways")
This is a basic example which shows you how to load the package:
library("iSEEpathways")
library("fgsea")
library("iSEE")
# Example data ----
simulated_data <- simulateExampleData()
pathways_list <- simulated_data[["pathwaysList"]]
features_stat <- simulated_data[["featuresStat"]]
se <- simulated_data[["summarizedexperiment"]]
# fgsea ----
set.seed(42)
fgseaRes <- fgsea(pathways = pathways_list,
stats = features_stat,
minSize = 15,
maxSize = 500)
fgseaRes <- fgseaRes[order(pval), ]
head(fgseaRes)
#> pathway pval padj log2err ES NES size
#> 1: pathway_1350 0.0004373110 0.5905978 0.4984931 0.2858201 1.503211 299
#> 2: pathway_4907 0.0005947840 0.5905978 0.4772708 0.3250965 1.599638 178
#> 3: pathway_3983 0.0007509197 0.5905978 0.4772708 0.2558001 1.398213 451
#> 4: pathway_398 0.0008716489 0.5905978 0.4772708 0.2799932 1.477849 305
#> 5: pathway_3359 0.0009809867 0.5905978 0.4550599 -0.3724340 -1.674911 106
#> 6: pathway_1289 0.0009835850 0.5905978 0.4550599 0.3479133 1.638048 124
#> leadingEdge
#> 1: feature_6060,feature_9203,feature_1852,feature_1883,feature_12903,feature_2143,...
#> 2: feature_9265,feature_6286,feature_14879,feature_9600,feature_5335,feature_12205,...
#> 3: feature_495,feature_12466,feature_13128,feature_3069,feature_5278,feature_4248,...
#> 4: feature_6478,feature_2164,feature_922,feature_4298,feature_6585,feature_1633,...
#> 5: feature_3879,feature_2726,feature_6870,feature_6787,feature_9700,feature_693,...
#> 6: feature_6376,feature_12953,feature_8391,feature_3147,feature_7330,feature_11551,...
# iSEE ---
se <- embedPathwaysResults(fgseaRes, se, name = "fgsea", class = "fgsea", pathwayType = "simulated",
pathwaysList = pathways_list, featuresStats = features_stat)
app <- iSEE(se, initial = list(
PathwaysTable(ResultName="fgsea", Selected = "pathway_3363 ", PanelWidth = 6L),
FgseaEnrichmentPlot(ResultName="fgsea", PathwayId = "pathway_3363", PanelWidth = 6L)
))
if (interactive()) {
shiny::runApp(app)
}
Below is the citation output from using citation('iSEEpathways') in R. Please run this yourself to check for any updates on how to cite iSEEpathways.
print(citation('iSEEpathways'), bibtex = TRUE)
#> To cite package 'iSEEpathways' in publications use:
#>
#> Rue-Albrecht K (2023). _iSEEpathways: iSEE extension for panels
#> related to pathway analysis_. R package version 0.99.0,
#> <https://github.com/iSEE/iSEEpathways>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {iSEEpathways: iSEE extension for panels related to pathway analysis},
#> author = {Kevin Rue-Albrecht},
#> year = {2023},
#> note = {R package version 0.99.0},
#> url = {https://github.com/iSEE/iSEEpathways},
#> }
Please note that the iSEEpathways was only made possible thanks to many other R and bioinformatics software authors, which are cited either in the vignettes and/or the paper(s) describing this package.
Please note that the iSEEpathways project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
For more details, check the dev directory.
This package was developed using biocthis.
Please note that the iSEEpathways project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
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