_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-precast 1.6.6
Propagated dependencies: r-seurat@5.1.0 r-scater@1.34.0 r-scales@1.3.0 r-rcpparmadillo@14.0.2-1 r-rcpp@1.0.13-1 r-purrr@1.0.2 r-pbapply@1.7-2 r-patchwork@1.3.0 r-mclust@6.1.1 r-matrix@1.7-1 r-mass@7.3-61 r-gtools@3.9.5 r-giraf@1.0.1 r-ggthemes@5.1.0 r-ggpubr@0.6.0 r-ggplot2@3.5.1 r-dr-sc@3.5 r-dplyr@1.1.4 r-cowplot@1.1.3 r-colorspace@2.1-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/feiyoung/PRECAST
Licenses: GPL 3
Synopsis: Embedding and Clustering with Alignment for Spatial Datasets
Description:

An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2023) <doi:10.1038/s41467-023-35947-w>.

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