SparseEmptyMatrix

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

SparseEmptyMatrix function

<dl><dt>ncol, nrow</dt>
<dd>Number of columns and rows in matrix</dd>
<dt>rownames, colnames</dt>
<dd>Optional row- and column names for the matrix</dd></dl>

Arguments

Generate empty dgC sparse matrix — SparseEmptyMatrix

<dl>

<dt>ncol, nrow</dt>
<dd>Number of columns and rows in matrix</dd>


<dt>rownames, colnames</dt>
<dd>Optional row- and column names for the matrix</dd>

</dl>

Generate empty dgC sparse matrix

SparseEmptyMatrix: Generate empty dgC sparse matrix

Description

Usage

Arguments