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:10.1186/s13059-019-1874-1> for more details.

Variance Stabilizing Transformations for Single Cell UMI Data

package-ubuntu-20.04-r-4.0.5#cran#sctransform-0.3.2

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>matrix of class <code>matrix</code> or <code>dgCMatrix</code></p>
</td>
</tr>
<tr valign="top">
<td><code>eps</code></td>
<td>
<p>small value to add to x to avoid log(0); default is 1</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#sctransform-0.3.2#docs#row_gmean

`x`	matrix of class `matrix` or `dgCMatrix`
`eps`	small value to add to x to avoid log(0); default is 1

row_gmean

Description

Usage

Arguments

Value

sctransform

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