DESCRIPTION

Package: Seurat
Version: 2.0.0.9999
Date: 2017-07-17
Title: Seurat : R Toolkit for Single Cell Genomics
Description: A toolkit for QC, analysis, and exploration of single cell RNA-seq data. Seurat aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data.
Author: Rahul Satija
Maintainer: Satija Lab <seuratpackage@gmail.com>
URL: http://www.satijalab.org/seurat
Depends:
    R (>= 3.2.0),
    ggplot2,
    cowplot,
    Matrix,
SystemRequirements: Java (>= 1.6)
Imports:
    methods,
    ROCR,
    stringr,
    mixtools,
    lars,
    ica,
    tsne,
    Rtsne,
    fpc,
    ape,
    VGAM,
    pbapply,
    igraph,
    FNN,
    caret,
    e1071,
    dplyr,
    RColorBrewer,
    MASS,
    irlba,
    reshape2,
    gridExtra,
    gplots,
    gdata,
    Rcpp,
    tclust,
    ranger,
    compositions,
    NMF,
    NMOF,
    dtw,
    SDMTools,
    plotly,
    diffusionMap,
    Hmisc,
    tidyr,
    ggjoy
LinkingTo: Rcpp, RcppEigen, RcppProgress
License: file LICENSE
Collate: 
    'RcppExports.R'
    'seurat.R'
    'cluster_determination.R'
    'cluster_determination_internal.R'
    'cluster_validation.R'
    'deprecated_functions.R'
    'differential_expression.R'
    'differential_expression_internal.R'
    'dimensional_reduction.R'
    'dimensional_reduction_internal.R'
    'dimensional_reduction_utilities.R'
    'interaction.R'
    'jackstraw.R'
    'jackstraw_internal.R'
    'multi_modal.R'
    'plotting.R'
    'plotting_internal.R'
    'plotting_utilities.R'
    'preprocessing.R'
    'preprocessing_internal.R'
    'printing_utilities.R'
    'scoring.R'
    'snn.R'
    'spatial.R'
    'spatial_internal.R'
    'tSNE_project.R'
    'utilities.R'
    'utilities_internal.R'
    'zfRenderSeurat.R'
RoxygenNote: 6.0.1
Suggests:
    testthat