DESCRIPTION

Package: scSTEM
Type: Package
Title: single cell short time series clustering
Version: 0.1.0
Depends:
	R (>= 4.0),
	SingleCellExperiment (>= 1.14.1),
	tibble (>= 3.1.2)
Imports:
	magrittr (>= 2.0.1),
	hdf5r (>= 1.3.3),
	hexbin (>= 1.28.2),
	Matrix(>= 1.3.3),
	dplyr(>= 1.0.6),
	ggplot2(>= 3.3.5),
	igraph(>= 1.2.6),
	purrr(>= 0.3.4),
	tidyr(>= 1.1.3),
	shiny (>= 1.6.0),
	shinyjs (>= 2.0.0),
	shinyFiles (>= 0.9.0),
	shinyWidgets (>= 0.6.0),
	R.utils (>= 2.10.1),
	ROGUE (>= 1.0),
	monocle3 (>= 1.0.0),
	biomaRt (>= 2.48.3),
	dyno (>= 0.1.2),
	dynwrap (>= 1.2.2),
	dynplot (>= 1.1.0)
Author: Qi Song
Maintainer: The package maintainer <sqsq3178@gmail.com>
Description: scSTEM is an R package for clustering genes in time-series single cell RNA-seq data. scSTEM clusters genes based on their temporal expression patterns of a specific trajectory path built by trajectory inference tools. The general trajectory framework used by scSTEM allows it to work with various trajectory inference methods.   
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1