The goal of iSEEde is to provide panels that facilitate the interactive visualisation of differential expression results in iSEE applications.
Get the latest stable R
release from
CRAN. Then install
iSEEde from
Bioconductor using the following code:
if (!requireNamespace("BiocManager", quietly = TRUE)) {
install.packages("BiocManager")
}
BiocManager::install("iSEEde")
And the bleeding edge development version from GitHub with:
BiocManager::install("iSEE/iSEEde")
This is a basic example which shows you how to interactively explore differential expression results for an example data set in an iSEE application, using designated panels implemented in iSEEde:
library("iSEEde")
library("airway")
library("DESeq2")
library("iSEE")
# Example data ----
data("airway")
airway$dex <- relevel(airway$dex, "untrt")
dds <- DESeqDataSet(airway, ~ 0 + dex + cell)
dds <- DESeq(dds)
res_deseq2 <- results(dds, contrast = list("dextrt", "dexuntrt"))
# iSEE / iSEEde ---
airway <- embedContrastResults(res_deseq2, airway, name = "dex: trt vs untrt")
app <- iSEE(airway, initial = list(
DETable(ContrastName="dex: trt vs untrt", HiddenColumns = c("baseMean",
"lfcSE", "stat"), PanelWidth = 4L),
VolcanoPlot(ContrastName="dex: trt vs untrt", PanelWidth = 4L),
MAPlot(ContrastName="dex: trt vs untrt", PanelWidth = 4L)
))
if (interactive()) {
shiny::runApp(app)
}
Below is the citation output from using citation('iSEEde')
in R.
Please run this yourself to check for any updates on how to cite
iSEEde.
print(citation("iSEEde"), bibtex = TRUE)
#>
#> To cite package 'iSEEde' in publications use:
#>
#> Rue-Albrecht K (2022). _iSEEde: iSEE extension for panels related to
#> differential expression analysis_. R package version 0.99.0,
#> <https://github.com/iSEE/iSEEde>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {iSEEde: iSEE extension for panels related to differential expression analysis},
#> author = {Kevin Rue-Albrecht},
#> year = {2022},
#> note = {R package version 0.99.0},
#> url = {https://github.com/iSEE/iSEEde},
#> }
Please note that the iSEEde 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 iSEEde project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
- Continuous code testing is possible thanks to GitHub actions through usethis, remotes, and rcmdcheck customized to use Bioconductor’s docker containers and BiocCheck.
- Code coverage assessment is possible thanks to codecov and covr.
- The documentation website is automatically updated thanks to pkgdown.
- The code is styled automatically thanks to styler.
- The documentation is formatted thanks to devtools and roxygen2.
For more details, check the dev
directory.
This package was developed using biocthis.
Please note that the iSEEde project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.