DESCRIPTION

Package: SpatialPCA
Title: Spatially Aware Dimension Reduction for Spatial Transcriptomics
Version: 1.3.0
Authors@R: 
    c(person("Lulu", "Shang", , "shanglu@umich.edu", role = c("aut","cre")),
      person("Xiang", "Zhou", , "xzhousph@umich.edu", role = c("aut")),
      person("Michael", "Kleinsasser", , "biostat-cran-manager@umich.edu", role = c("cre")))
Description: SpatialPCA is a spatially aware dimension reduction method that explicitly accounts for the spatial correlation across tissue locations. SpatialPCA can extract a low dimensional representation of the spatial transcriptomics data with enriched biological signal and preserved spatial correlation structure, thus unlocking many existing computational tools previously developed in single-cell RNAseq studies for tailored and novel analysis of spatial transcriptomics. 
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.0
Suggests: knitr, rmarkdown
Imports: methods, MASS, Matrix, RSpectra, Rtsne, SPARK, Seurat,
        parallel, pdist, tidyr, umap, ggplot2, splatter, dplyr,
        assertthat
Remotes: xzhoulab/SPARK
biocViews: bluster
VignetteBuilder: knitr
NeedsCompilation: no
Author: Lulu Shang [aut],
  Xiang Zhou [aut],
  Michael Kleinsasser [cre]
Maintainer: Lulu Shang <shanglu@umich.edu>
Packaged: 2022-08-12 20:52:16 UTC; shanglu