GaussianSketch

internal

A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. 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>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.

Paul Hoffman

Seurat

Tools for Single Cell Genomics

Andrew Butler

Saket Choudhary

Charlotte Darby

Jeff Farrell

Isabella Grabski

Christoph Hafemeister

Yuhan Hao

Austin Hartman

Jaison Jain

Longda Jiang

Madeline Kowalski

Skylar Li

Gesmira Molla

Efthymia Papalexi

Patrick Roelli

Rahul Satija

Karthik Shekhar

Avi Srivastava

Tim Stuart

Kristof Torkenczy

Shiwei Zheng

Satija Lab and Collaborators 

GaussianSketch function

<dl><dt>nsketch</dt>
<dd>Number of sketching random cells</dd>
<dt>ncells</dt>
<dd>Number of cells in the original data</dd>
<dt>seed</dt>
<dd>a single value, interpreted as an integer, or <code>NULL</code>
 (see &#8216;Details&#8217;).</dd>
<dt>...</dt>
<dd>Ignored</dd></dl>

Arguments

Gaussian sketching — GaussianSketch

<dl>

<dt>nsketch</dt>
<dd>Number of sketching random cells</dd>


<dt>ncells</dt>
<dd>Number of cells in the original data</dd>


<dt>seed</dt>
<dd>a single value, interpreted as an integer, or <code>NULL</code>
 (see &#8216;Details&#8217;).</dd>


<dt>...</dt>
<dd>Ignored</dd>

</dl>

Gaussian sketching

GaussianSketch: Gaussian sketching

Description

Usage

Value

Arguments