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CellTrails

Reconstruction, visualization and analysis of branching trajectories

Bioconductor version: 3.23 · Package version: 1.30.0

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.

Installation

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

BiocManager::install("CellTrails")

Details

MaintainerDaniel Ellwanger <dc.ellwanger.dev@gmail.com>
AuthorDaniel Ellwanger [aut, cre, cph]
LicenseArtistic-2.0
Downloads rank530
Source branchRELEASE_3_23
biocViewsClustering, DataRepresentation, DifferentialExpression, DimensionReduction, GeneExpression, ImmunoOncology, Sequencing, SingleCell, Software, TimeCourse

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageCellTrails_1.30.0.tar.gz
Windows binary (x86_64)CellTrails_1.30.0.zip
macOS binary (arm64)CellTrails_1.30.0.tgz
macOS binary (x86_64)CellTrails_1.30.0.tgz
Dependencies

Depends: R (>= 3.5), SingleCellExperiment

Imports: BiocGenerics, Biobase, cba, dendextend, dtw, EnvStats, ggplot2, ggrepel, grDevices, igraph, maptree, methods, mgcv, reshape2, Rtsne, stats, splines, SummarizedExperiment, utils

Suggests: AnnotationDbi, destiny, RUnit, scater, scran, knitr, org.Mm.eg.db, rmarkdown