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TSCAN

This is the development version of TSCAN; for the stable release version, see TSCAN.

Tools for Single-Cell Analysis

Bioconductor version: Development (3.18)

Provides methods to perform trajectory analysis based on a minimum spanning tree constructed from cluster centroids. Computes pseudotemporal cell orderings by mapping cells in each cluster (or new cells) to the closest edge in the tree. Uses linear modelling to identify differentially expressed genes along each path through the tree. Several plotting and interactive visualization functions are also implemented.

Author: Zhicheng Ji [aut, cre], Hongkai Ji [aut], Aaron Lun [ctb]

Maintainer: Zhicheng Ji <zji4 at jhu.edu>

Citation (from within R, enter citation("TSCAN")):

Installation

To install this package, start R (version "4.3") and enter: 

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("TSCAN")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("TSCAN")
TSCAN: Tools for Single-Cell ANalysis PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews GUI, GeneExpression, Software, Visualization
Version 1.39.0
In Bioconductor since BioC 3.0 (R-3.1) (9 years)
License GPL(>=2)
Depends SingleCellExperiment, TrajectoryUtils
Imports ggplot2, shiny, plyr, grid, fastICA, igraph, combinat, mgcv, mclust, gplots, methods, stats, Matrix, SummarizedExperiment, DelayedArray, S4Vectors
Linking To
Suggests knitr, testthat, scuttle, scran, metapod, BiocParallel, BiocNeighbors, batchelor
System Requirements
Enhances
URL
See More
Depends On Me OSCA.advanced, OSCA.multisample
Imports Me FEAST, singleCellTK
Suggests Me condiments
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package TSCAN_1.39.0.tar.gz
Windows Binary TSCAN_1.39.0.zip
macOS Binary (x86_64) TSCAN_1.39.0.tgz
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/TSCAN
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/TSCAN
Bioc Package Browser https://code.bioconductor.org/browse/TSCAN/
Package Short Url https://bioconductor.org/packages/TSCAN/
Package Downloads Report Download Stats