FlowSOM for handling cytometry data
6 June 2023
General context
The number of markers, cells and samples measured in cytometry experiments keeps increasing. While this offers unique opportunities, it also complicates the traditional manual gating process, which becomes time-consuming and subjective. Replacing the manual gating by an automated pipeline can solve these issues. In this workshop, we will explore how to handle cytometry data in R, with a focus on the FlowSOM clustering algorithm.
Participants will learn how to handle cytometry data in R, including quality control, visualization, clustering and comparison of samples. This will be demonstrated on an example dataset, but participants are welcome to bring some of their own fcs files to explore in addition.
Prior experience with traditional manual cytometry analysis and R is strongly recommended. If you have no experience with R you can attend the R introduction training.
Trainers
Sofie Van Gassen
Sofie is Postdoc at Ghent University working on optimization of the analysis of flow cytometry data by developing suitable machine learning algorithms. She's the creator of the FlowSOM algorithm.
Program
Schedule will be published later
Practical info
06 June 2023
Ghent - VIB/UGent FSVM II
Technologiepark 75
9052 Zwijnaarde
Belgium
06 June 2023
Ghent - VIB/UGent FSVM II
From Ghent Sint-Pieters station, you can take bus 49, 50 or 70 to Technologiepark. Please check Routeplanner De Lijn for schedules.
06 June 2023
Ghent - VIB/UGent FSVM II
There is only one entrance to Technologiepark. At the entrance, please take a ticket and have it validated at the reception desk of the FSVM building. Parking will only be allowed in regular parking spots (for instance in front of the building) and in the new parking tower. Parking alongside the roads or in other places where there is no regular parking is prohibited and after initial warnings, fines will be issued (€ 50).