RegisterSparseMatrix

internal

Defines S4 classes for single-cell genomic data and associated
information, such as dimensionality reduction embeddings, nearest-neighbor
graphs, and spatially-resolved coordinates. Provides data access methods and
R-native hooks to ensure the Seurat object is familiar to other R users. See
Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>,
Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>,
and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>,
Hao Y, Hao S, et al (2021) <doi:10.1016/j.cell.2021.04.048> and
Hao Y, et al (2023) <doi:10.1101/2022.02.24.481684> for
more details.

Paul Hoffman

SeuratObject

Data Structures for Single Cell Data

Rahul Satija

David Collins

Yuhan Hao

Austin Hartman

Gesmira Molla

Andrew Butler

Tim Stuart

Madeline Kowalski

Saket Choudhary

Skylar Li

Longda Jiang

Jeff Farrell

Shiwei Zheng

Christoph Hafemeister

Patrick Roelli

RegisterSparseMatrix function

<dl><dt>class</dt>
<dd>Class name</dd>
<dt>package</dt>
<dd>Optional name of package; by default, will search namespaces
of loaded packages to determine the providing package</dd></dl>

Arguments

Register Sparse Matrix Classes — RegisterSparseMatrix

<dl>

<dt>class</dt>
<dd>Class name</dd>


<dt>package</dt>
<dd>Optional name of package; by default, will search namespaces
of loaded packages to determine the providing package</dd>

</dl>

Register Sparse Matrix Classes

RegisterSparseMatrix: Register Sparse Matrix Classes

Description

Usage

Value

Arguments

See Also