Package: Sconify
Type: Package
Title: A toolkit for performing KNN-based statistics for flow and mass
        cytometry data
biocViews: ImmunoOncology, SingleCell, FlowCytometry, Software,
        MultipleComparison, Visualization
Version: 1.6.0
Author: Tyler J Burns
Maintainer: Tyler J Burns <burns.tyler@gmail.com>
Description: This package does k-nearest neighbor based statistics and visualizations with flow and mass cytometery data. This gives tSNE maps"fold change" functionality and provides a data quality metric by assessing manifold overlap between fcs files expected to be the same. Other applications using this package include imputation, marker redundancy, and testing the relative information loss of lower dimension embeddings compared to the original manifold.
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: tibble, dplyr, FNN, flowCore, Rtsne, ggplot2, magrittr, utils,
        stats, readr
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Collate: 'k.selection.R' 'process.files.R' 'knn.and.statistics.R'
        'post.processing.R' 'data.R'
git_url: https://git.bioconductor.org/packages/Sconify
git_branch: RELEASE_3_10
git_last_commit: 4aa17be
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: no
Packaged: 2019-10-30 02:59:08 UTC; biocbuild
Built: R 3.6.1; ; 2019-11-01 15:52:33 UTC; unix
