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.
Last updated 4 months ago
softwareclusteringtranscriptomicsgeneexpressionsinglecellimmunooncologydataimport
102 stars 4.20 score 143 dependencies 1 dependents