This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see destiny.
Bioconductor version: 3.16
Create and plot diffusion maps.
Author: Philipp Angerer [cre, aut] , Laleh Haghverdi [ctb], Maren Büttner [ctb] , Fabian Theis [ctb] , Carsten Marr [ctb] , Florian Büttner [ctb]
Maintainer: Philipp Angerer <phil.angerer at gmail.com>
Citation (from within R,
enter citation("destiny")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("destiny")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("destiny")
HTML | R Script | destiny 2.0 brought the Diffusion Pseudo Time (DPT) class |
HTML | R Script | destiny main vignette: Start here! |
HTML | R Script | detecting relevant genes with destiny 3 |
HTML | R Script | Reproduce the Diffusion Map vignette with the supplied data() |
HTML | R Script | The effects of a global vs. local kernel |
HTML | R Script | tidyverse and ggplot integration with destiny |
Reference Manual | ||
Text | NEWS |
biocViews | CellBasedAssays, CellBiology, Clustering, Software, Visualization |
Version | 3.12.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (7.5 years) |
License | GPL-3 |
Depends | R (>= 3.4.0) |
Imports | methods, graphics, grDevices, grid, utils, stats, Matrix, Rcpp (>= 0.10.3), RcppEigen, RSpectra (>= 0.14-0), irlba, pcaMethods, Biobase, BiocGenerics, SummarizedExperiment, SingleCellExperiment, ggplot2, ggplot.multistats, tidyr, tidyselect, ggthemes, VIM, knn.covertree, proxy, RcppHNSW, smoother, scales, scatterplot3d |
LinkingTo | Rcpp, RcppEigen, grDevices |
Suggests | knitr, rmarkdown, igraph, testthat, FNN, tidyverse, gridExtra, cowplot, conflicted, viridis, rgl, scRNAseq, org.Mm.eg.db, scran, repr |
SystemRequirements | C++11 |
Enhances | rgl, SingleCellExperiment |
URL | https://theislab.github.io/destiny/ https://github.com/theislab/destiny/ https://www.helmholtz-muenchen.de/icb/destiny https://bioconductor.org/packages/destiny https://doi.org/10.1093/bioinformatics/btv715 |
BugReports | https://github.com/theislab/destiny/issues |
Depends On Me | |
Imports Me | CytoTree, phemd |
Suggests Me | CelliD, CellTrails, monocle |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | destiny_3.12.0.tar.gz |
Windows Binary | destiny_3.12.0.zip (64-bit only) |
macOS Binary (x86_64) | destiny_3.12.0.tgz |
macOS Binary (arm64) | destiny_3.12.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/destiny |
Source Repository (Developer Access) | git clone [email protected]:packages/destiny |
Bioc Package Browser | https://code.bioconductor.org/browse/destiny/ |
Package Short Url | https://bioconductor.org/packages/destiny/ |
Package Downloads Report | Download Stats |
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