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Bioconductor 3.22 Released

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TSCAN

This is thereleased version of TSCAN; for the devel version, seeTSCAN.

Tools for Single-Cell Analysis

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DOI: 10.18129/B9.bioc.TSCAN


Bioconductor version: Release (3.22)

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, entercitation("TSCAN")):

Installation

To install this package, start R (version "4.5") and enter:

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

For older versions of R, please refer to the appropriateBioconductor 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 ANalysisPDFR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsGUI,GeneExpression,Software,Visualization
Version1.48.0
In Bioconductor sinceBioC 3.0 (R-3.1) (11 years)
LicenseGPL(>=2)
DependsR (>= 4.4.0),SingleCellExperiment,TrajectoryUtils
Importsggplot2,shiny,plyr, grid,fastICA,igraph,combinat,mgcv,mclust,gplots, methods, stats,Matrix,SummarizedExperiment,SparseArray(>= 1.5.23),DelayedArray(>= 0.31.9),S4Vectors
System Requirements
URL
See More
Suggestsknitr,testthat,scuttle,scran,metapod,BiocParallel,BiocNeighbors,batchelor
Linking To
Enhances
Depends On MeOSCA.advanced, OSCA.multisample
Imports MeFEAST,singleCellTK,DIscBIO
Suggests Mecondiments
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageTSCAN_1.48.0.tar.gz
Windows Binary (x86_64) TSCAN_1.48.0.zip
macOS Binary (x86_64)TSCAN_1.48.0.tgz
macOS Binary (arm64)TSCAN_1.48.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/TSCAN
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/TSCAN
Bioc Package Browserhttps://code.bioconductor.org/browse/TSCAN/
Package Short Urlhttps://bioconductor.org/packages/TSCAN/
Package Downloads ReportDownload Stats

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