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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.

copied from cf-post-staging / r-sctransform
Type Size Name Uploaded Downloads Labels
conda 340.0 kB | win-64/r-sctransform-0.2.1-r35h796a38f_0.tar.bz2  5 years and 11 months ago 1176 main cf202003
conda 341.9 kB | win-64/r-sctransform-0.2.1-r36h796a38f_0.tar.bz2  5 years and 11 months ago 1215 main cf202003
conda 330.4 kB | osx-64/r-sctransform-0.2.1-r36hc5da6b9_0.tar.bz2  5 years and 11 months ago 529 main cf202003
conda 328.9 kB | osx-64/r-sctransform-0.2.1-r35hc5da6b9_0.tar.bz2  5 years and 11 months ago 442 main cf202003
conda 331.3 kB | linux-64/r-sctransform-0.2.1-r35h0357c0b_0.tar.bz2  5 years and 11 months ago 4546 main cf202003
conda 332.6 kB | linux-64/r-sctransform-0.2.1-r36h0357c0b_0.tar.bz2  5 years and 11 months ago 4780 main cf202003

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