To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("cellTree")

In most cases, you don't need to download the package archive at all.

cellTree

DOI: 10.18129/B9.bioc.cellTree

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

Bioconductor version: Release (3.5)

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.

Author: David duVerle [aut, cre], Koji Tsuda [aut]

Maintainer: David duVerle <dave at cb.k.u-tokyo.ac.jp>

Citation (from within R, enter citation("cellTree")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("cellTree")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("cellTree")
PDF R Script Inference and visualisation of Single-Cell RNA-seq Data data as a hierarchical tree structure
PDF Reference Manual

Details

Version 1.6.0
In Bioconductor since BioC 3.3 (R-3.3) (1.5 years)
License Artistic-2.0
Depends R (>= 3.3), topGO
LinkingTo
SystemRequirements
Enhances
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package cellTree_1.6.0.tar.gz
Windows Binary cellTree_1.6.0.zip
Mac OS X 10.11 (El Capitan) cellTree_1.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/cellTree
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