update_progress_bar

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

update_progress_bar function

<dl><dt>pb</dt>
<dd>Progress bar object (can be NULL)</dd>
<dt>i</dt>
<dd>Current iteration number</dd>
<dt>verbosity</dt>
<dd>An integer specifying the verbosity level: 0 (silent), 1 (messages only), or 2 (messages and progress bars)</dd></dl>

Arguments

Update progress bar — update_progress_bar

<dl>

<dt>pb</dt>
<dd>Progress bar object (can be NULL)</dd>


<dt>i</dt>
<dd>Current iteration number</dd>


<dt>verbosity</dt>
<dd>An integer specifying the verbosity level: 0 (silent), 1 (messages only), or 2 (messages and progress bars)</dd>

</dl>

update_progress_bar: Update progress bar

Description

Usage

Arguments