DESCRIPTION

Package: trendsceek
Title: Identify Genes with Spatial Expression Trends in Single-Cell Gene Expression Data
Version: 1.0.0
Authors@R: c(person("Daniel", "Edsgärd", email = 'edsgard@hotmail.com', role = c("aut", "cre")))
Description: Identify genes with spatial expression trends in single-cell gene expression data using marked point processes.
URL: https://github.com/edsgard/trendsceek
BugReports: https://github.com/edsgard/trendsceek/issues
Depends: R (>= 3.3.1)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports:
    BiocParallel,
    genefilter,
    statmod,
    MASS,
    matrixStats,
    reshape2,
    ggplot2,
    dplyr,
    tidyr,
    grid,
    tsne,
    RColorBrewer,
    KernSmooth,
    spatstat,
    sm,
    tibble,
    DESeq2,
    data.table    
Suggests:
    testthat,
    knitr,
    rmarkdown
VignetteBuilder: knitr
RoxygenNote: 5.0.1