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Automatic Cell Annotation for Single-Cell RNA-Seq Data - Multiple Reference Strategies in SingleR - Part 2

Bioinformagician via YouTube

Overview

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This tutorial demonstrates strategies for annotating cell types in single-cell RNA-Seq data with multiple reference datasets. It compares their strengths and pitfalls and shows how to harmonize labels and map cell ontology terms.

Syllabus

Intro
Strategies for using multiple reference datasets for annotation
Study design and goal of the analysis
Fetching 2 reference datasets from celldex package
Annotation strategy 1: Using a combined reference
Visualize results of strategy 1 in a UMAP
Annotation strategy 2: Comparing scores across references
Which reference scored the best for which label?
How to get the markers for each label from individual references?
Combined diagnostic heatmap
Lack of consistency in labels across references
Annotation strategy 3: Using harmonized labels
How to map cell ontology terms to labels?

Taught by

bioinformagician

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