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This tutorial demonstrates how to merge and integrate single-cell RNA sequencing datasets in R with Seurat, using canonical correlation analysis to correct batch effects. It covers data loading, quality control, filtering, visualization, and comparison of results before and after integration.
Syllabus
Intro
Study design
When to integrate?
Types of integration
Batch correction methods
Downloading data
Read data in R
Merge Seurat objects
QC and filtering
Do we see batch effects in our data?
Visualize merged data before integration
Integration steps
Visualize integrated data after integration
Comparing UMAPs: before integration vs after integration
Taught by
bioinformagician