cellTree
Inference and visualisation of Single-Cell RNA-seq data as a hierarchical tree structure

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cellTree: Inference and visualisation of Single-Cell RNA-seq data as a hierarchical tree structure

cellTree: Inference and visualisation of Single-Cell RNA-seq data as a hierarchical tree structure

This packages computes a Latent Dirichlet Allocation (LDA) model of single-cell RNA-seq data and builds a compact tree modelling the relationship between individual cells over time or space.

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Package overview Inference and visualisation of Single-Cell RNA-seq Data data as a hierarchical tree structure

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Package details
AuthorDavid duVerle [aut, cre], Koji Tsuda [aut]
Bioconductor views BiomedicalInformatics CellBiology Clustering FunctionalGenomics GO GeneExpression GeneSetEnrichment GraphAndNetwork ImmunoOncology Microarray RNASeq Sequencing SystemsBiology TimeCourse Visualization
MaintainerDavid duVerle <dave@cb.k.u-tokyo.ac.jp>
LicenseArtistic-2.0
Version1.20.0
URL http://tsudalab.org 
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R: 
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("cellTree")

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cellTree documentation built on Nov. 8, 2020, 5:05 p.m.

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