DESCRIPTION

Package: iMUBAC
Type: Package
Title: Integration of Multi-Batch Cytometry datasets
Version: 0.2.1
Author: Masato Ogishi
Maintainer: Masato Ogishi <oogishi-tky@umin.ac.jp>
Description: High-dimentional cytometry, including spectral flow cytometry and mass cytometry (CyTOF), enables deep immunophenotyping at a single-cell resolution. Analysis of cytometry data from multiple batches of experiments remains to be challenging due to the high-dimentionality and batch effects. We designed iMUBAC (Integration of Multi-Batch Cytometry datasets) to enable a rational and streamlined inter-batch comparisons through i) preprocessing, ii) batch-correction, iii) unsupervised clustering, and iv) batch-specific cell-type identification.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.1
Imports:
	caret,
	ComplexHeatmap, 
	ConsensusClusterPlus, 
	cydar,
	data.table, 
	dplyr, 
	flowCore, 
	FlowSOM, 
	ggedit, 
	ggplot2, 
	ggpubr, 
	ggrastr, 
	grDevices, 
	grid, 
	harmony,
	igraph, 
	janitor,
	magrittr, 
	Matrix, 
	matrixStats, 
	methods,
	ncdfFlow,
	parallel,
	purrr, 
	RColorBrewer,
	S4Vectors, 
	scater, 
	scran, 
	SingleCellExperiment, 
	stats, 
	stringr, 
	SummarizedExperiment, 
	tidyr,
	uwot,
	viridis