r-bayesspace 1.20.0
Propagated dependencies: r-arrow@22.0.0 r-assertthat@0.2.1 r-biocfilecache@3.0.0 r-biocparallel@1.44.0 r-biocsingular@1.26.1 r-coda@0.19-4.1 r-dirichletreg@0.7-2 r-dplyr@1.1.4 r-ggplot2@4.0.1 r-magrittr@2.0.4 r-matrix@1.7-4 r-mclust@6.1.2 r-microbenchmark@1.5.0 r-purrr@1.2.0 r-rcpp@1.1.0 r-rcpparmadillo@15.2.2-1 r-rcppdist@0.1.1.1 r-rcppprogress@0.4.2 r-rcurl@1.98-1.17 r-rhdf5@2.54.0 r-rjson@0.2.23 r-rlang@1.1.6 r-s4vectors@0.48.0 r-scales@1.4.0 r-scater@1.38.0 r-scran@1.38.0 r-singlecellexperiment@1.32.0 r-summarizedexperiment@1.40.0 r-tibble@3.3.0 r-tidyr@1.3.1 r-xgboost@1.7.11.1
Channel: guix
Home page: https://www.ezstatconsulting.com/BayesSpace/
Licenses: Expat
Build system: r
Synopsis: Clustering and resolution enhancement of spatial transcriptomes
Description:
This package provides 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.
Total results: 1