FlowSOM for handling cytometry data
Date: No date given
Duration: P1DT8H
Language of instruction: English
As cytometry experiments measure increasing numbers of markers, cells, and samples, traditional manual gating becomes time-consuming and subjective. Automated approaches provide a robust alternative, improving speed, reproducibility, and scalability.This workshop introduces handling cytometry data in R using automated workflows, with a special focus on the FlowSOM clustering algorithm. You will learn practical strategies to streamline data quality control, visualization, and clustering for high-dimensional cytometry datasets The workshop combines demonstrations and hands-on exercises in R. You will practice using FlowSOM on an example dataset and are encouraged to bring your own FCS files to explore during the session.
Keywords: Artificial Inteligence
Learning objectives:
- “Apply visualization techniques to cytometry datasets”
- “Compare and interpret clustering results across samples”
- “Import and manage cytometry data in R”
- “Perform quality control and data-cleaning steps”
- “Use the FlowSOM clustering algorithm for automated analysis”
Organizer: VIB (https://ror.org/03xrhmk39)
Event types:
- Workshops and courses
Instructors: 
Sofie Van Gassen
Activity log
