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 [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

Documentation:

Reference manual:

Rmagic.pdf

Downloads:

Package source:	Rmagic_2.0.3.tar.gz
Windows binaries:	r-devel: Rmagic_2.0.3.zip, r-release: Rmagic_2.0.3.zip, r-oldrel: Rmagic_2.0.3.zip
macOS binaries:	r-release (arm64): Rmagic_2.0.3.tgz, r-oldrel (arm64): Rmagic_2.0.3.tgz, r-release (x86_64): Rmagic_2.0.3.tgz, r-oldrel (x86_64): Rmagic_2.0.3.tgz
Old sources:	Rmagic archive

Reverse dependencies:

Reverse imports:

scRecover

Linking:

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