This is the development version of TSCAN; for the stable release version, see TSCAN.
Tools for Single-Cell AnalysisBioconductor version: Development (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")
# 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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("TSCAN")
Details biocViews GUI, GeneExpression, Software, Visualization Version 1.47.0 In Bioconductor since BioC 3.0 (R-3.1) (10.5 years) License GPL(>=2) Depends R (>= 4.4.0), SingleCellExperiment, TrajectoryUtils Imports ggplot2, 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 Package Archives
Follow Installation instructions to use this package in your R session.
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