Variance Stabilizing Transformations for Single Cell UMI Data

 A normalization method for single-cell UMI count data using a
 variance stabilizing transformation. The transformation is based on a
 negative binomial regression model with regularized parameters. As part of the
 same regression framework, this package also provides functions for
 batch correction, and data correction. See Hafemeister and Satija 2019
 <doi:10.1101/576827> for more details.