Embeddr statistics

info info

Citations per year


Popular tool citations

chevron_left Cell lineage and pseudotime inference chevron_right

Tool usage distribution map

Tool usage distribution map
info info

Associated diseases

Associated diseases
Want to access the full stats & trends on this tool?

Embeddr specifications


Unique identifier OMICS_10060
Name Embeddr
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Version 0.99.0
Stability Stable
Maintained Yes




No version available



  • person_outline kieran.campbell <>

Publication for Embeddr

Embeddr citation


Single Cell Transcriptomics Bioinformatics and Computational Challenges

PMCID: 5030210
PMID: 27708664
DOI: 10.3389/fgene.2016.00163

[…] tscan is a new approach based on mst. cells are first clustered using a model-based approach before constructing an mst, allowing the reduction of the tree space complexity (ji and ji, )., embeddr is a method that uses the correlation metric between cells to construct knng, then projects the samples into a low-dimensional embedding using laplacian eigen maps. the pseudo time order […]

Want to access the full list of citations?
Embeddr institution(s)
MRC Functional Genomics Unit, University of Oxford, UK
Embeddr funding source(s)
Supported by the UK Medical Research Council.

Embeddr reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review Embeddr