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sincell

R package for the statistical assessment of cell state hierarchies from single-cell RNA-seq data

Bioconductor version: 3.24 · Package version: 1.45.0

Cell differentiation processes are achieved through a continuum of hierarchical intermediate cell-states that might be captured by single-cell RNA seq. Existing computational approaches for the assessment of cell-state hierarchies from single-cell data might be formalized under a general workflow composed of i) a metric to assess cell-to-cell similarities (combined or not with a dimensionality reduction step), and ii) a graph-building algorithm (optionally making use of a cells-clustering step). Sincell R package implements a methodological toolbox allowing flexible workflows under such framework. Furthermore, Sincell contributes new algorithms to provide cell-state hierarchies with statistical support while accounting for stochastic factors in single-cell RNA seq. Graphical representations and functional association tests are provided to interpret hierarchies.

Installation

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

BiocManager::install("sincell")

Details

MaintainerMiguel Julia <migueljuliamolina@gmail.com>, Antonio Rausell<antonio.rausell@institutimagine.org>
AuthorMiguel Julia <migueljuliamolina@gmail.com>, Amalio Telenti <atelenti@jcvi.org>, Antonio Rausell <antonio.rausell@institutimagine.org>
LicenseGPL (>= 2)
URLhttp://bioconductor.org/
Downloads rank520
Source branchdevel
biocViewsBiomedicalInformatics, CellBiology, Clustering, FunctionalGenomics, GeneExpression, GeneSetEnrichment, GraphAndNetwork, ImmunoOncology, RNASeq, Sequencing, Software, SystemsBiology, Visualization

Documentation

Download

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

Source packagesincell_1.45.0.tar.gz
Windows binary (x86_64)sincell_1.45.0.zip
macOS binary (arm64)sincell_1.45.0.tgz
macOS binary (x86_64)sincell_1.45.0.tgz
Dependencies

Depends: R (>= 3.0.2), igraph

Imports: Rcpp (>= 0.11.2), entropy, scatterplot3d, MASS, TSP, ggplot2, reshape2, fields, proxy, parallel, Rtsne, fastICA, cluster, statmod

LinkingTo: Rcpp

Suggests: BiocStyle, knitr, biomaRt, stringr, monocle