edward130603/BayesSpace: Clustering and Resolution Enhancement of Spatial Transcriptomes
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Bioconductor views | Clustering DataImport GeneExpression ImmunoOncology SingleCell Software Transcriptomics |
| Maintainer | |
| License | MIT + file LICENSE |
| Version | 1.15.3 |
| URL | edward130603.github.io/BayesSpace |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
