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>.
copied from cf-staging / r-rmagic
https://anaconda.org/conda-forge/r-rmagic/badges/version.svg
https://anaconda.org/conda-forge/r-rmagic/badges/latest_release_date.svg
https://anaconda.org/conda-forge/r-rmagic/badges/latest_release_relative_date.svg
https://anaconda.org/conda-forge/r-rmagic/badges/platforms.svg
https://anaconda.org/conda-forge/r-rmagic/badges/license.svg
https://anaconda.org/conda-forge/r-rmagic/badges/downloads.svg