standR
Spatial transcriptome analyses of Nanostring's DSP data in R
Bioconductor version: 3.23 · Package version: 1.16.0
standR is an user-friendly R package providing functions to assist conducting good-practice analysis of Nanostring's GeoMX DSP data. All functions in the package are built based on the SpatialExperiment object, allowing integration into various spatial transcriptomics-related packages from Bioconductor. standR allows data inspection, quality control, normalization, batch correction and evaluation with informative visualizations.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("standR") Details
| Maintainer | Ning Liu <ning.liu@adelaide.edu.au> |
| Author | Ning Liu [aut, cre] (ORCID: <https://orcid.org/0000-0002-9487-9305>), Dharmesh D Bhuva [aut] (ORCID: <https://orcid.org/0000-0002-6398-9157>), Ahmed Mohamed [aut] |
| License | MIT + file LICENSE |
| URL | https://github.com/DavisLaboratory/standR |
| Bug Reports | https://github.com/DavisLaboratory/standR/issues |
| Downloads rank | 367 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, ExperimentHubSoftware, GeneExpression, Normalization, QualityControl, Software, Spatial, Transcriptomics |
Documentation
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Dependencies
Depends: R (>= 4.1)
Imports: dplyr, SpatialExperiment (>= 1.5.2), SummarizedExperiment, SingleCellExperiment, edgeR, rlang, readr, tibble, ggplot2, tidyr, ruv, limma, patchwork, S4Vectors, Biobase, BiocGenerics, grDevices, stats, methods, ggalluvial, mclustcomp, RUVSeq
Suggests: knitr, ExperimentHub, rmarkdown, scater, uwot, ggpubr, ggrepel, cluster, testthat (>= 3.0.0)
Reverse dependencies
Imports Me (1): shinyDSP