DeLorean: Estimates Pseudotimes for Single Cell Expression Data

Implements the DeLorean model (Reid & Wernisch (2016) <doi:10.1093/bioinformatics/btw372>) 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.

Version: 1.3.0
Depends: R (≥ 3.0.2), Rcpp (≥ 0.12.0)
Imports: rstan (≥ 2.15.1), 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, VGAM
Published: 2018-01-03
Author: John Reid
Maintainer: John Reid <john.reid at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: DeLorean results


Reference manual: DeLorean.pdf
Vignettes: DeLorean
Package source: DeLorean_1.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: DeLorean_1.3.0.tgz
OS X Mavericks binaries: r-oldrel: DeLorean_1.3.0.tgz
Old sources: DeLorean archive


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