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Automatic Cell-Annotation for Single-Cell RNA-Seq Data Using a Reference Dataset - A SingleR Tutorial

Bioinformagician via YouTube

Overview

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This tutorial demonstrates reference-based cell type annotation for single-cell RNA-seq data using SingleR. It covers reference selection, data preprocessing, label visualization, and diagnostics for evaluating cell assignments.

Syllabus

Intro
Overview of cell annotation workflow
Strategies for automatic cell annotation
Marker-based annotation approach
Reference-based annotation approach
How does SingleR work?
Study design and goal of the analysis
Data used for demonstration
Reading data, filtering and pre-processing in Seurat
Pointers to choose reference dataset to run SingleR
Fetching reference data from celldex package
Run SingleR
Understanding singleR output
Visualize singleR labels in a UMAP plot
Annotation diagnostic 1: Based on scores within cells
Annotation diagnostic 2: Based on deltas across cells
Annotation diagnostic 3: Comparing cell type assignments to unsupervised clustering

Taught by

bioinformagician

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