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README.md
# From geospatial to spatial transcriptomics <!-- badges: start --> [![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental) [![BioC status](http://www.bioconductor.org/shields/build/release/bioc/Voyager.svg)](https://bioconductor.org/checkResults/release/bioc-LATEST/Voyager) [![codecov](https://codecov.io/gh/pachterlab/voyager/branch/devel/graph/badge.svg?token=RCIXA7AQER)](https://codecov.io/gh/pachterlab/voyager) <!-- badges: end --> This package brings the tradition of geospatial statistics to spatial omics by wrapping classical geospatial packages such as `spdep` and `gstat` to be used with the SpatialFeatureExperiment class, which extends SpatialExperiment with sf. The [companion website](https://pachterlab.github.io/voyager/) for this package includes vignettes that showcase the functionality of `Voyager` in the context of the Visium, Slide-seq V2, CosMx, Xenium, and MERFISH technologies. ## Installation This package is in Bioconductor version 3.16 and above. Install with ```r if (!requireNamespace("BiocManager")) install.packages("BiocManager") BiocManager::install(version = "3.17") # Or a higher version in the future BiocManager::install("Voyager") ``` The main branch in this repo is the release version. The development version of Voyager can be installed from [GitHub](https://github.com/) with: ```r # install.packages("remotes") remotes::install_github("pachterlab/voyager", ref = "devel") ``` Or from Bioconductor with: ```r BiocManager::install("Voyager", version = "devel") ``` ## For contributors The whole git repo of this package is huge because of the large number of figures and Jupyter notebooks in the documentation website. To reduce download time and disk space usage, you may clone the `devel` branch only, so the documentation branches are not cloned: ``` git clone -b devel --single-branch https://github.com/pachterlab/voyager.git ```