robust_scale_binned

Robust scale using median and mad per bin

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>, and Choudhary and Satija (2022) <doi:10.1186/s13059-021-02584-9>
for more details.

Saket Choudhary

sctransform

Variance Stabilizing Transformations for Single Cell UMI Data

Christoph Hafemeister

Rahul Satija

robust_scale_binned function

<dl><dt>y</dt>
<dd>Numeric vector</dd>
<dt>x</dt>
<dd>Numeric vector</dd>
<dt>breaks</dt>
<dd>Numeric vector of breaks</dd></dl>

Arguments

Robust scale using median and mad per bin — robust_scale_binned

<dl>

<dt>y</dt>
<dd>Numeric vector</dd>


<dt>x</dt>
<dd>Numeric vector</dd>


<dt>breaks</dt>
<dd>Numeric vector of breaks</dd>

</dl>

robust_scale_binned: Robust scale using median and mad per bin

Description

Usage

Value

Arguments