Rmagic: MAGIC - Markov Affinity-Based Graph Imputation of Cells

MAGIC (Markov affinity-based graph imputation of cells) is a method for addressing technical noise in single-cell data, including under-sampling of mRNA molecules, often termed "dropout" which can severely obscure important gene-gene relationships. MAGIC shares information across similar cells, via data diffusion, to denoise the cell count matrix and fill in missing transcripts. Read more: van Dijk et al. (2018) <doi:10.1016/j.cell.2018.05.061>.

Version: 1.0.0
Depends: R (≥ 3.3), Matrix (≥ 1.2-0)
Imports: methods, stats, reticulate (≥ 1.4), ggplot2
Suggests: readr, viridis, phateR
Published: 2018-07-10
Author: David van Dijk [aut], Scott Gigante ORCID iD [cre]
Maintainer: Scott Gigante <scott.gigante at yale.edu>
License: GPL-2 | file LICENSE
NeedsCompilation: no
Citation: Rmagic citation info
Materials: README
CRAN checks: Rmagic results

Downloads:

Reference manual: Rmagic.pdf
Package source: Rmagic_1.0.0.tar.gz
Windows binaries: r-devel: Rmagic_1.0.0.zip, r-release: Rmagic_1.0.0.zip, r-oldrel: Rmagic_1.0.0.zip
OS X binaries: r-release: Rmagic_1.0.0.tgz, r-oldrel: Rmagic_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Rmagic to link to this page.