Material
Slides of lectures
Day 1 - Starting to work with flow cytometry data, Transformation, Quality control
Day 2 - Dimensionality reduction, Clustering and annotation, Differential testing
Day 3 - Normalization (batch correction), Manual gating, Automated gating, Phenotype discovery
Day 4 - R Markdown
Day 5
Data for exercises
Please note that the data size is very big: 2.3GB. It may take a while to download.
Find the link here.
For day 5, the data can be found here.