BayesSpace: BayesSpace: A package for processing spatial transcriptomes
In BayesSpace: Clustering and Resolution Enhancement of Spatial Transcriptomes
Description
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.
Details
For an overview of the functionality provided by the package, please see the
vignette:
vignette("BayesSpace", package="BayesSpace")
BayesSpace documentation built on Nov. 8, 2020, 8:03 p.m.
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Description
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.
Details
For an overview of the functionality provided by the package, please see the
vignette:
vignette("BayesSpace", package="BayesSpace")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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