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 |
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 |
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 |
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