Bioconductor version: Release (3.15)
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")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("cellTree")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cellTree")
R Script | Inference and visualisation of Single-Cell RNA-seq Data data as a hierarchical tree structure | |
Reference Manual |
biocViews | BiomedicalInformatics, CellBiology, Clustering, FunctionalGenomics, GO, GeneExpression, GeneSetEnrichment, GraphAndNetwork, ImmunoOncology, Microarray, RNASeq, Sequencing, Software, SystemsBiology, TimeCourse, Visualization |
Version | 1.26.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (6.5 years) |
License | Artistic-2.0 |
Depends | R (>= 3.3), topGO |
Imports | topicmodels, slam, maptpx, igraph, xtable, gplots |
LinkingTo | |
Suggests | BiocStyle, knitr, HSMMSingleCell, biomaRt, org.Hs.eg.db, Biobase, tools |
SystemRequirements | |
Enhances | |
URL | http://tsudalab.org |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | cellTree_1.26.0.tar.gz |
Windows Binary | cellTree_1.26.0.zip |
macOS Binary (x86_64) | cellTree_1.26.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/cellTree |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/cellTree |
Package Short Url | https://bioconductor.org/packages/cellTree/ |
Package Downloads Report | Download Stats |
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