Cluster_Stats_All_Samples

Calculates both overall and per sample cell number and percentages per cluster based on orig.ident.

Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using 'R'. 'scCustomize' aims to provide 1) Customized visualizations for aid in ease of use and to create more aesthetic and functional visuals. 2) Improve speed/reproducibility of common tasks/pieces of code in scRNA-seq analysis with a single or group of functions. For citation please use: Marsh SE (2021) "Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing" <doi:10.5281/zenodo.5706430> RRID:SCR_024675.

Samuel Marsh

scCustomize

Custom Visualizations & Functions for Streamlined Analyses of
Single Cell Sequencing

Ming Tang

Velina Kozareva

Lucas Graybuck

Cluster_Stats_All_Samples function

<dl><dt>seurat_object</dt>
<dd>Seurat object name.</dd>
<dt>group_by_var</dt>
<dd>meta data column to classify samples (default = "orig.ident").</dd></dl>

Arguments

Calculate Cluster Stats — Cluster_Stats_All_Samples

<dl>

<dt>seurat_object</dt>
<dd>Seurat object name.</dd>


<dt>group_by_var</dt>
<dd>meta data column to classify samples (default = "orig.ident").</dd>

</dl>

Cluster_Stats_All_Samples: Calculate Cluster Stats

Description

Usage

Value

Arguments

Examples