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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-staging / r-sctransform
Type Size Name Uploaded Downloads Labels
conda 381.0 kB | win-64/r-sctransform-0.3-r40h796a38f_0.tar.bz2  4 years and 5 months ago 995 main
conda 381.6 kB | win-64/r-sctransform-0.3-r36h796a38f_0.tar.bz2  4 years and 5 months ago 1016 main
conda 374.0 kB | linux-64/r-sctransform-0.3-r40h0357c0b_0.tar.bz2  4 years and 5 months ago 3049 main
conda 373.6 kB | linux-64/r-sctransform-0.3-r36h0357c0b_0.tar.bz2  4 years and 5 months ago 3158 main
conda 371.3 kB | osx-64/r-sctransform-0.3-r36h710217c_0.tar.bz2  4 years and 5 months ago 360 main
conda 370.9 kB | osx-64/r-sctransform-0.3-r40h710217c_0.tar.bz2  4 years and 5 months ago 337 main

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