Package: singleCellHaystack
Type: Package
Title: Finding Needles (=differentially Expressed Genes) in Haystacks
        (=single Cell Data)
Version: 0.3.2
Authors@R: c(
    person("Alexis", "Vandenbon", email = "alexis.vandenbon@gmail.com", role = c("aut", "cre"),
        comment = c(ORCID = "0000-0003-2180-5732")),
    person("Diego", "Diez", email = "diego10ruiz@gmail.com", role = c("aut"),
        comment = c(ORCID = "0000-0002-2325-4893"))
    )
Description: Identification of differentially expressed genes (DEGs) is a key step in single-cell 
    transcriptomics data analysis. 'singleCellHaystack' predicts DEGs without relying on 
    clustering of cells into arbitrary clusters. Single-cell RNA-seq (scRNA-seq) data is 
    often processed to fewer dimensions using Principal Component Analysis (PCA) and 
    represented in 2-dimensional plots (e.g. t-SNE or UMAP plots). 'singleCellHaystack' 
    uses Kullback-Leibler divergence to find genes that are expressed in subsets of cells 
    that are non-randomly positioned in a these multi-dimensional spaces or 2D representations. 
    For the theoretical background of 'singleCellHaystack' we refer to 
    Vandenbon and Diez (2019) <doi:10.1101/557967>.
Imports: splines, ggplot2, reshape2
Suggests: knitr, rmarkdown, SummarizedExperiment, SingleCellExperiment,
        Seurat, Rtsne, cowplot, testthat
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-05 01:44:36 UTC; alex
Author: Alexis Vandenbon [aut, cre] (<https://orcid.org/0000-0003-2180-5732>),
  Diego Diez [aut] (<https://orcid.org/0000-0002-2325-4893>)
Maintainer: Alexis Vandenbon <alexis.vandenbon@gmail.com>
Repository: CRAN
Date/Publication: 2020-07-01 11:10:03 UTC
