DESCRIPTION

Package: ouija
Type: Package
Title: Interpretable marker-based single-cell pseudotime using Bayesian parametric models
Version: 0.99.1
Date: 2017-07-29
Authors@R: person("Kieran", "Campbell", email = "kieranrcampbell@gmail.com", role = c("aut", "cre"))
Description: Ouija is a probabilistic framework that allows for interpretable learning of single-cell pseudotimes using only small panels of marker genes. It contains Bayesian hypothesis testing for differences in gene regulation timing and allows for probabilistic identification of metastable states.
License: GPL (>=3)
Depends: R (>= 3.4.0), Rcpp (>= 0.12.0)
Imports: 
  rstan (>= 2.9.0), 
  ggplot2,
  tidyr,
  dplyr, 
  methods, 
  stats, 
  MCMCglmm, 
  coda,
  cowplot,
  viridis, 
  mclust
Suggests: 
  Biobase,
  rmarkdown,
  knitr,
  BiocStyle,
  testthat,
  SingleCellExperiment,
  scater
biocViews: 
  Software, 
  Transcriptomics, 
  GeneExpression, 
  RNASeq,
  SingleCell, 
  Bayesian, 
  PrincipalComponent, 
  GeneRegulation
NeedsCompilation: yes
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Author: Kieran Campbell [aut, cre]
Maintainer: Kieran Campbell <kieranrcampbell@gmail.com>