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: | 1.4.1 |
| 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: | 2018-07-17 |
| Author: | John Reid |
| Maintainer: | John Reid <john.reid at mrc-bsu.cam.ac.uk> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | DeLorean results |
| Reference manual: | DeLorean.pdf |
| Vignettes: |
DeLorean |
| Package source: | DeLorean_1.4.1.tar.gz |
| Windows binaries: | r-devel: DeLorean_1.4.1.zip, r-release: DeLorean_1.4.1.zip, r-oldrel: DeLorean_1.4.1.zip |
| OS X binaries: | r-release: DeLorean_1.4.1.tgz, r-oldrel: DeLorean_1.4.1.tgz |
| Old sources: | DeLorean archive |
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