This is the development version of shinyDSP; for the stable release version, see shinyDSP.
A Shiny App For Visualizing Nanostring GeoMx DSP DataBioconductor version: Development (3.22)
This package is a Shiny app for interactively analyzing and visualizing Nanostring GeoMX Whole Transcriptome Atlas data. Users have the option of exploring a sample data to explore this app's functionality. Regions of interest (ROIs) can be filtered based on any user-provided metadata. Upon taking two or more groups of interest, all pairwise and ANOVA-like testing are automatically performed. Available ouputs include PCA, Volcano plots, tables and heatmaps. Aesthetics of each output are highly customizable.
Author: Seung J. Kim [aut, cre] ORCID: 0000-0001-5263-0758 , Marco Mura [aut, fnd]
Maintainer: Seung J. Kim <skim823 at uwo.ca>
Citation (from within R, entercitation("shinyDSP")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("shinyDSP")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("shinyDSP")
Details biocViews DifferentialExpression, GeneExpression, ShinyApps, Software, Spatial, Transcriptomics Version 1.1.2 In Bioconductor since BioC 3.21 (R-4.5) (< 6 months) License MIT + file LICENSE Depends R (>= 4.5) Imports AnnotationHub, BiocGenerics, bsicons, bslib, circlize, ComplexHeatmap, cowplot, dplyr, DT, edgeR, ExperimentHub, ggplot2, ggpubr, ggrepel, grDevices, grid, htmltools, limma, magrittr, pals, readr, S4Vectors, scales, scater, shiny, shinycssloaders, shinyjs, shinyvalidate, shinyWidgets, SingleCellExperiment, standR, stats, stringr, SummarizedExperiment, tibble, tidyr, utils, withr System Requirements URL https://github.com/kimsjune/shinyDSP http://joonkim.ca/shinyDSP/ Bug Reports https://github.com/kimsjune/shinyDSP/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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