STARmap-class

STARmap

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

Christoph Hafemeister

Yuhan Hao

Austin Hartman

Jaison Jain

Madeline Kowalski

Efthymia Papalexi

Patrick Roelli

Rahul Satija

Karthik Shekhar

Avi Srivastava

Tim Stuart

Kristof Torkenczy

Shiwei Zheng

Satija Lab and Collaborators 

STARmap-class function

<dl>
<dt><code>assay</code></dt>
<dd>Name of assay to associate image data with; will give this image
priority for visualization when the assay is set as the active/default assay
in a <code>Seurat</code> object</dd></dl>
<dt><code>key</code></dt>
<dd>Key for the image</dd>

Slots

The STARmap class — STARmap-class

<dl>
<dt><code>assay</code></dt>
<dd>Name of assay to associate image data with; will give this image
priority for visualization when the assay is set as the active/default assay
in a <code>Seurat</code> object</dd>


<dt><code>key</code></dt>
<dd>Key for the image</dd>


</dl>

The STARmap class

STARmap-class: The STARmap class

Description

Arguments

Slots