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: 1.5.0
Depends: methods, R (≥ 3.4.0), Rcpp (≥ 0.12.19)
Imports: rstan (≥ 2.18.1), rstantools (≥ 1.5.1), 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, lattice, memoise
LinkingTo: BH (≥ 1.66.0-1), Rcpp (≥ 0.12.19), RcppEigen (≥ 0.3.3.4.0), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: knitr (≥ 1.8), knitcitations, rmarkdown, formatR, extrafont, testthat, svglite, VGAM
Published: 2018-10-17
Author: John Reid
Maintainer: John Reid <johnbaronreid at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
CRAN checks: DeLorean results

Downloads:

Reference manual: DeLorean.pdf
Vignettes: DeLorean
Package source: DeLorean_1.5.0.tar.gz
Windows binaries: r-devel: DeLorean_1.5.0.zip, r-release: DeLorean_1.5.0.zip, r-oldrel: DeLorean_1.5.0.zip
OS X binaries: r-release: DeLorean_1.5.0.tgz, r-oldrel: DeLorean_1.5.0.tgz
Old sources: DeLorean archive

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