make.sparse

Convert a given matrix to dgCMatrix

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

make.sparse function

<dl><dt>mat</dt>
<dd>Input matrix</dd></dl>

Arguments

Convert a given matrix to dgCMatrix — make.sparse

<dl>

<dt>mat</dt>
<dd>Input matrix</dd>

</dl>

make.sparse: Convert a given matrix to dgCMatrix

Description

Usage

Value

Arguments