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: 2.0.3
Depends: R (≥ 3.3), Matrix (≥ 1.2-0)
Imports: methods, stats, reticulate (≥ 1.4), ggplot2
Suggests: Seurat (≥ 3.0.0), readr, viridis, phateR
Published: 2019-11-21
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
In views: MissingData
CRAN checks: Rmagic results

Downloads:

Reference manual: Rmagic.pdf
Package source: Rmagic_2.0.3.tar.gz
Windows binaries: r-devel: Rmagic_2.0.3.zip, r-devel-gcc8: Rmagic_2.0.3.zip, r-release: Rmagic_2.0.0.zip, r-oldrel: Rmagic_2.0.0.zip
OS X binaries: r-release: Rmagic_2.0.0.tgz, r-oldrel: Rmagic_2.0.0.tgz
Old sources: Rmagic archive

Reverse dependencies:

Reverse suggests: iCellR

Linking:

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