Handling cytometry data in R and quality control
Trainers: Annelies Emmaneel, Katrien Quintelier and Artuur Couckuyt
Overview: In this practical session, you will get a hands-on experience where we will provide you with an R script and some data, so that you can run the analysis pipeline yourself.
Learning objectives
By the end of this session you will:
- Understand the basic principles of machine learning.
- Know the steps of a computational analysis pipeline and why and how you should implement them.
- Be able to evaluate the quality of your data.
- Understand a FlowSOM model and how to go from the model to a final conclusion.
Materials: