DESCRIPTION

Package: garnett
Type: Package
Title: Automated cell type classification
Version: 0.1.19
Author: c(
    person("Hannah", "Pliner", email = "hpliner@uw.edu", role = c("aut", "cre")), 
    person("Cole", "Trapnell", email = "coletrap@uw.edu", role = c("aut")))
Maintainer: Hannah Pliner <hpliner@uw.edu>
Description: Garnett facilitates automated cell type classification from 
    single-cell expression (and other genomic) data. Garnett works by taking 
    single-cell data, along with a cell type definition (marker) file, and 
    training a regression-based classifier. Once a classifier is trained for a 
    tissue/sample type, it can be applied to classify future datasets from 
    similar tissues.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends:
    R (>= 3.5.0),
    monocle
Imports:
    AnnotationDbi (>= 1.44.0),
    assertthat (>= 0.2.0),
    Biobase (>= 2.42.0),
    DelayedArray (>= 0.8.0),
    DelayedMatrixStats (>= 1.4.0),
    doParallel (>= 1.0.14),
    forcats (>= 0.3.0),
    ggplot2 (>= 3.1.0),
    ggrepel (>= 0.8.0),
    glmnet (>= 4.0-2),
    igraph (>= 1.2.2),
    irlba (>= 2.3.2),
    Matrix (>= 1.2-15),
    methods,
    org.Hs.eg.db (>= 3.7.0),
    org.Mm.eg.db,
    plyr (>= 1.8.4),
    RANN (>= 2.6),
    reshape2 (>= 1.4.3),
    rly (>= 1.6.2),
    stringr (>= 1.3.1),
    viridis (>= 0.5.1)
Suggests: 
    testthat,
    knitr,
    rmarkdown,
    vdiffr
RoxygenNote: 6.1.1
VignetteBuilder: knitr