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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.
Maintained by Matt Stone. Last updated 5 months ago.
softwareclusteringtranscriptomicsgeneexpressionsinglecellimmunooncologydataimportopenblascppopenmp
126 stars 7.90 score 278 scripts 1 dependents