Package: cellTree
Title: Inference and visualisation of Single-Cell RNA-seq data as a
        hierarchical tree structure
Version: 1.12.1
Authors@R: c(person("David", "duVerle", email = "dave@cb.k.u-tokyo.ac.jp", role = c("aut",
          "cre")), person("Koji", "Tsuda", email = "tsuda@k.u-tokyo.ac.jp", role = c("aut")))
Authors: David duVerle [aut, cre], Koji Tsuda [aut]
Encoding: UTF-8
Description: 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.
Depends: R (>= 3.3), topGO
License: Artistic-2.0
LazyData: true
RoxygenNote: 5.0.1
VignetteBuilder: knitr
URL: http://tsudalab.org
Imports: topicmodels, slam, maptpx, igraph, xtable, gplots
Suggests: BiocStyle, knitr, HSMMSingleCell, biomaRt, org.Hs.eg.db,
        Biobase, tools
biocViews: ImmunoOncology, Sequencing, RNASeq, Clustering,
        GraphAndNetwork, Visualization, GeneExpression,
        GeneSetEnrichment, BiomedicalInformatics, CellBiology,
        FunctionalGenomics, SystemsBiology, GO, TimeCourse, Microarray
NeedsCompilation: no
Author: David duVerle [aut, cre], Koji Tsuda [aut]
Maintainer: David duVerle <dave@cb.k.u-tokyo.ac.jp>
git_url: https://git.bioconductor.org/packages/cellTree
git_branch: RELEASE_3_8
git_last_commit: 6034cb5
git_last_commit_date: 2019-01-04
Date/Publication: 2019-01-04
Packaged: 2019-01-05 03:46:10 UTC; biocbuild
Built: R 3.5.2; ; 2019-01-05 11:45:04 UTC; windows
