DESCRIPTION

Package: iDA
Type: Package
Title: Define embedding space for data with clustered architecture
Version: 0.99.0
Authors@R: as.person(c(
    "Theresa Alexander <reesyxan@umd.edu> [aut, cre]",
    "Hector Corrada Bravo <hcorrada@gmail.com> [aut]"
    ))
Imports: scran, igraph, irlba, SingleCellExperiment, Seurat, plyr, NetworkToolbox, DESeq2, SummarizedExperiment, mclust
Description: This package takes in a scaled data matrix and outputs the optimal latent space embedding using an iterative process of computing the singular value decomposition, clustering in the embeddging space, using linear discriminant analysis to find features which define cluster separation, and reclustering in the embedding space. 
License: MIT + file LICENSE
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: 
    testthat, 
    datasets, 
    methods,
    BiocStyle, 
    knitr, 
    rmarkdown,
    scPipe,
    scater,
    ggplot2,
    Rtsne