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

Package details

Bioconductor views Clustering DataImport GeneExpression ImmunoOncology SingleCell Software Transcriptomics
LicenseMIT + file LICENSE
URL edward130603.github.io/BayesSpace
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
edward130603/BayesSpace documentation built on March 8, 2021, 5:21 p.m.