smoppix

This is the development version of smoppix; to use it, please install the devel version of Bioconductor.

Analyze Single Molecule Spatial Transcriptomics and Other Spatial Omics Data Using the Probabilistic Index


Bioconductor version: Development (3.21)

Test for univariate and bivariate spatial patterns in spatial omics data with single-molecule resolution. The tests implemented allow for analysis of nested designs and are automatically calibrated to different biological specimens. Tests for aggregation, colocalization, gradients and vicinity to cell edge or centroid are provided.

Author: Stijn Hawinkel [cre, aut] (ORCID: )

Maintainer: Stijn Hawinkel <stijn.hawinkel at psb.ugent.be>

Citation (from within R, enter citation("smoppix")):

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("smoppix")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("smoppix")
Vignette of the smoppix package HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews SingleCell, Software, Spatial, Transcriptomics
Version 0.99.34
In Bioconductor since BioC 3.21 (R-4.5)
License GPL-2
Depends R (>= 4.4.0)
Imports spatstat.geom (>= 3.2.0), spatstat.random, methods, BiocParallel, SummarizedExperiment, SpatialExperiment, scam, Rdpack, stats, utils, extraDistr, lmerTest, lme4, ggplot2, graphics, grDevices, Rcpp (>= 1.0.11), Matrix, spatstat.model, openxlsx
System Requirements
URL https://github.com/sthawinke/smoppix
Bug Reports https://github.com/sthawinke/smoppix
See More
Suggests testthat, rmarkdown, knitr, DropletUtils, polyCub, RImageJROI, sp, ape, htmltools, funkycells, glmnet, doParallel
Linking To Rcpp
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package smoppix_0.99.34.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64) smoppix_0.99.34.tgz
macOS Binary (arm64) smoppix_0.99.34.tgz
Source Repository git clone https://git.bioconductor.org/packages/smoppix
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/smoppix
Bioc Package Browser https://code.bioconductor.org/browse/smoppix/
Package Short Url https://bioconductor.org/packages/smoppix/
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