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BayesSpace
This is the released version of BayesSpace; for the devel version, see BayesSpace.
Clustering and Resolution Enhancement of Spatial Transcriptomes
Bioconductor version: Release (3.22)
Tools for clustering and enhancing the resolution of spatial gene expression experiments. BayesSpace clusters a low-dimensional representation of the gene expression matrix, incorporating a spatial prior to encourage neighboring spots to cluster together. The method can enhance the resolution of the low-dimensional representation into "sub-spots", for which features such as gene expression or cell type composition can be imputed.
Author: Edward Zhao [aut], Senbai Kang [aut, cre], Matt Stone [aut], Xing Ren [ctb], Raphael Gottardo [ctb]
Maintainer: Senbai Kang <senbai.kang at chuv.ch>
citation("BayesSpace")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BayesSpace")
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("BayesSpace")
Details
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Follow Installation instructions to use this package in your R session.