# MAGIC - Markov Affinity-Based Graph Imputation of Cells

## Documentation for package ‘Rmagic’ version 2.0.3

- DESCRIPTION file.

## Help Pages

as.data.frame.magic | Convert a MAGIC object to a data.frame
as.matrix.magic | Convert a MAGIC object to a matrix
ggplot.magic | Convert a MAGIC object to a data.frame for ggplot
install.magic | Install MAGIC Python Package
library.size.normalize | Performs L1 normalization on input data such that the sum of expression values for each cell sums to 1, then returns normalized matrix to the metric space using median UMI count per cell effectively scaling all cells as if they were sampled evenly.
magic | Perform MAGIC on a data matrix
magic.default | Perform MAGIC on a data matrix
magic.Seurat | Perform MAGIC on a data matrix
magic.seurat | Perform MAGIC on a data matrix
magic_testdata | Fake scRNAseq data for examples
print.magic | Print a MAGIC object
pymagic_is_available | Check whether MAGIC Python package is available and can be loaded
summary.magic | Summarize a MAGIC object