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PRECAST

Embedding and Clustering with Alignment for Spatial Omics Datasets

v1.8 · Dec 15, 2025 · GPL-3

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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See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
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See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
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installed package size

  installed size is 11.9Mb
  sub-directories of 1Mb or more:
    data   2.2Mb
    libs   8.9Mb
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Check History

ERROR 11 OK · 1 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE Mar 9, 2026
ERROR r-devel-linux-x86_64-debian-clang

package dependencies

Package required but not available: ‘scater’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
ERROR r-oldrel-macos-arm64

package dependencies

Package required but not available: ‘scater’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is 11.9Mb
  sub-directories of 1Mb or more:
    data   2.2Mb
    libs   8.9Mb

Reverse Dependencies (2)

imports

Dependency Network

Dependencies Reverse dependencies gtools MASS Matrix mclust purrr Seurat irlba cowplot patchwork scater pbapply ggthemes dplyr ggplot2 harmony +5 more dependencies ProFAST coFAST PRECAST

Version History

new 1.8 Mar 9, 2026