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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 555.0 kB | win-64/r-sctransform-0.3.4-r41h78deb2a_0.tar.bz2  2 years and 4 months ago 559 main
conda 562.5 kB | osx-arm64/r-sctransform-0.3.4-r41h55306a0_0.tar.bz2  2 years and 4 months ago 74 main
conda 576.3 kB | osx-64/r-sctransform-0.3.4-r41h4f1a15b_0.tar.bz2  2 years and 4 months ago 81 main
conda 569.1 kB | linux-64/r-sctransform-0.3.4-r41h9f5de39_0.tar.bz2  2 years and 4 months ago 1828 main
conda 555.5 kB | win-64/r-sctransform-0.3.4-r41h482c5d8_0.tar.bz2  2 years and 6 months ago 635 main
conda 567.9 kB | win-64/r-sctransform-0.3.4-r40h482c5d8_0.tar.bz2  2 years and 6 months ago 719 main
conda 575.5 kB | osx-64/r-sctransform-0.3.4-r40h4e8cc12_0.tar.bz2  2 years and 6 months ago 390 main
conda 575.8 kB | osx-64/r-sctransform-0.3.4-r41h4e8cc12_0.tar.bz2  2 years and 6 months ago 360 main
conda 569.6 kB | linux-64/r-sctransform-0.3.4-r41hef8c1a7_0.tar.bz2  2 years and 6 months ago 4076 main
conda 569.5 kB | linux-64/r-sctransform-0.3.4-r40hef8c1a7_0.tar.bz2  2 years and 6 months ago 9766 main

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