r-bayesspace 1.17.0
Propagated dependencies: r-arrow@20.0.0.2 r-assertthat@0.2.1 r-biocfilecache@2.16.0 r-biocparallel@1.42.0 r-biocsingular@1.24.0 r-coda@0.19-4.1 r-dirichletreg@0.7-1 r-dplyr@1.1.4 r-ggplot2@3.5.2 r-magrittr@2.0.3 r-matrix@1.7-3 r-mclust@6.1.1 r-microbenchmark@1.5.0 r-purrr@1.0.4 r-rcpp@1.0.14 r-rcpparmadillo@14.4.3-1 r-rcppdist@0.1.1 r-rcppprogress@0.4.2 r-rcurl@1.98-1.17 r-rhdf5@2.52.0 r-rjson@0.2.23 r-rlang@1.1.6 r-s4vectors@0.46.0 r-scales@1.4.0 r-scater@1.36.0 r-scran@1.36.0 r-singlecellexperiment@1.30.1 r-summarizedexperiment@1.38.1 r-tibble@3.2.1 r-tidyr@1.3.1 r-xgboost@1.7.11.1
Channel: guix
Home page: https://www.ezstatconsulting.com/BayesSpace/
Licenses: Expat
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