Implements the DeLorean model to estimate pseudotimes for single cell expression data. The DeLorean model uses a Gaussian process latent variable model to model uncertainty in the capture time of cross-sectional data.

Documentation

Manual: DeLorean.pdf
Vignette: DeLorean

Maintainer: John Reid <john.reid at mrc-bsu.cam.ac.uk>

Author(s): John Reid <john.reid at mrc-bsu.cam.ac.uk>

Install package and any missing dependencies by running this line in your R console:

install.packages("DeLorean")

Depends R (>= 3.0.2), Rcpp(>=0.12.0)
Imports rstan(>=2.12.1), dplyr(>=0.4.3), reshape2(>=1.4), stringr(>=0.6.2), ggplot2(>=1.0.0), MASS(>=7.3), broom, coda, parallel, functional, kernlab, fastICA, seriation, memoise
Suggests knitr(>=1.8), knitcitations, rmarkdown, formatR, extrafont, testthat, svglite, fields, VGAM
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Package DeLorean
Materials
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Version 1.2.4
Published 2016-10-05
License MIT + file LICENSE
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks DeLorean check results
Package source DeLorean_1.2.4.tar.gz