destiny
Destiny is an R package that provides an efficient implementation of the diffusion map algorithm, which is a spectral method for non-linear dimension reduction. It has been adapted for the visualization of single-cell expression data and includes a single-cell specific noise model allowing for missing and censored values. Destiny further presents an efficient nearest-neighbor approximation that allows for the processing of hundreds of thousands of cells and a functionality for projecting new data on existing diffusion maps. The package has been exemplarily applied to a recent time-resolved mass cytometry dataset of cellular reprogramming.
Topic
Data mining;Data visualisation;Embryology
Detail
Operation: Data handling;Multiple sample visualisation;Gene expression comparison
Software interface: Command-line user interface;Library
Language: R
License: GNU General Public License, version 3
Cost: Free
Version name: 3.12.0
Credit: UK Medical Research Council, the Bavarian Research Network for Molecular Biosystems (BioSysNet), the ERC , DFG Fellowship through the Graduate School of Quantitative Biosciences Munich (QBM).
Input: -
Output: -
Contact: Philipp Angerer philipp.angerer@helmholtz-muenchen.de
Collection: -
Maturity: Mature
Publications
- destiny: diffusion maps for large-scale single-cell data in R.
- Angerer P, et al. destiny: diffusion maps for large-scale single-cell data in R. destiny: diffusion maps for large-scale single-cell data in R. 2016; 32:1241-3. doi: 10.1093/bioinformatics/btv715
- https://doi.org/10.1093/bioinformatics/btv715
- PMID: 26668002
- PMC: -
Download and documentation
Source: http://bioconductor.org/packages/release/bioc/src/contrib/destiny_3.12.0.tar.gz
Documentation: http://bioconductor.org/packages/release/bioc/manuals/destiny/man/destiny.pdf
Home page: http://bioconductor.org/packages/release/bioc/html/destiny.html
Links: http://bioconductor.org/packages/release/bioc/vignettes/destiny/inst/doc/DPT.html
Links: http://bioconductor.org/packages/release/bioc/vignettes/destiny/inst/doc/Diffusion-Maps.html
Links: http://bioconductor.org/packages/release/bioc/vignettes/destiny/inst/doc/Gene-Relevance.html
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