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Unsupervised Data Analysis & AI for Flow Cytometry
The aim of this workshop is to introduce the participants to modern computational techniques to analyze complex flow cytometry dataset. A mixture of theoretical and practical courses will show how to set up a pipeline using the R programming language, but also other platforms such as FlowJo and any cloud platform – including key steps such as data preprocessing and transformation, identification of cell populations, and differential analysis of sample groups. No previous knowledge of unsupervised data analysis is required.
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Code : 2026-COMPUTING-11
Duration : 2 days
Language : English
Target Audience : Cytometrists with experience in multicolor flow cytometry data analysis
Prerequisites : Good working knowledge of data analysis with standard cytometry software (eg.: FlowJo, FACSDiva, Kaluza, Infinicyt, etc.)
Courses objectives : Topics:
Foundations of multidimensional data analysis: Maths & Algorithms.
Data pre-processing: Cleaning, Standardization
Practical sessions in R, FlowJo and Cytolution
Work with Flow Cytometry & CyTOF data
AI-powered analysis: the future of cytometry
Discovering trajectories in your data.
Costs : Public Sector: 800 CHF
Industry, Pharma: 1000 CHF
Developing Countries: 500 CHF
Registration deadline: 1month before the course or when the place limit is reached.
Duration : 2 days
Language : English
Target Audience : Cytometrists with experience in multicolor flow cytometry data analysis
Prerequisites : Good working knowledge of data analysis with standard cytometry software (eg.: FlowJo, FACSDiva, Kaluza, Infinicyt, etc.)
Courses objectives : Topics:
Foundations of multidimensional data analysis: Maths & Algorithms.
Data pre-processing: Cleaning, Standardization
Practical sessions in R, FlowJo and Cytolution
Work with Flow Cytometry & CyTOF data
AI-powered analysis: the future of cytometry
Discovering trajectories in your data.
Costs : Public Sector: 800 CHF
Industry, Pharma: 1000 CHF
Developing Countries: 500 CHF
Registration deadline: 1month before the course or when the place limit is reached.