DOI: 10.18129/B9.bioc.cellTree    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see cellTree.

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

Bioconductor version: 3.7

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>

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PDF R Script Inference and visualisation of Single-Cell RNA-seq Data data as a hierarchical tree structure
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biocViews BiomedicalInformatics, CellBiology, Clustering, FunctionalGenomics, GO, GeneExpression, GeneSetEnrichment, GraphAndNetwork, Microarray, RNASeq, Sequencing, Software, SystemsBiology, TimeCourse, Visualization
Version 1.10.0
In Bioconductor since BioC 3.3 (R-3.3) (2.5 years)
License Artistic-2.0
Depends R (>= 3.3), topGO
Imports topicmodels, slam, maptpx, igraph, xtable, gplots
Suggests BiocStyle, knitr, HSMMSingleCell, biomaRt, org.Hs.eg.db, Biobase, tools
URL http://tsudalab.org
Depends On Me
Imports Me
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Source Package cellTree_1.10.0.tar.gz
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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 http://bioconductor.org/packages/cellTree/
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