DESCRIPTION

Package: SpatialFeatures
Title: Entropy-based subcellular and supercellular features for molecule-resolved spatial omics datasets
Version: 0.99.1
Authors@R: c(
    person("Shila", "Ghazanfar", email = "shazanfar@gmail.com",
    role = c("aut", "cre", "ctb"),comment = c(ORCID = "0000-0001-7861-6997")),
    person("Guan", "Gui", role = "ctb")
    )
Description: This package uses molecule-level information to extract new 
  cell-level features as an alternative to simply calculating gene counts. By 
  using four categories, sub-sector, super-sector, super-sector and 
  super-concentric segmentations of cells, SpatialFeatures then uses entropy 
  as a metric to arrive at a cell-by-gene level feature. Overall, this means 
  that we can extract more nuanced information from molecule-resolved spatial
  gene expression for further downstream analysis with SingleCellExperiment.
License: GPL-2
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Depends: R (>= 4.4.0),
    MoleculeExperiment,
    SingleCellExperiment,
    dplyr,
    purrr,
    parallel
Imports:
    terra,
    rlang
Suggests:
    knitr,
    ggplot2,
    BiocStyle
VignetteBuilder: knitr
biocViews: GeneExpression,
    FeatureExtraction,
    Spatial,
    GenePrediction,
    CellBiology,
    Preprocessing
URL: https://sydneybiox.github.io/SpatialFeatures/
BugReports: https://github.com/sydneybiox/SpatialFeatures/issues