This is the released version of CellTrails; for the devel version, see CellTrails.
Reconstruction, visualization and analysis of branching trajectoriesBioconductor version: Release (3.21)
CellTrails is an unsupervised algorithm for the de novo chronological ordering, visualization and analysis of single-cell expression data. CellTrails makes use of a geometrically motivated concept of lower-dimensional manifold learning, which exhibits a multitude of virtues that counteract intrinsic noise of single cell data caused by drop-outs, technical variance, and redundancy of predictive variables. CellTrails enables the reconstruction of branching trajectories and provides an intuitive graphical representation of expression patterns along all branches simultaneously. It allows the user to define and infer the expression dynamics of individual and multiple pathways towards distinct phenotypes.
Author: Daniel Ellwanger [aut, cre, cph]
Maintainer: Daniel Ellwanger <dc.ellwanger.dev at gmail.com>
Citation (from within R, entercitation("CellTrails")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CellTrails")
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("CellTrails")Follow Installation instructions to use this package in your R session.
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