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Introduction to multi-dimensional flow cytometry analyses
The aim of this workshop is to introduce the participants to modern computational cytometry techniques. A mixture of theoretical and practical courses will show how to set up a pipeline using the R programming language, Cytobank, and FlowJo – including key steps such as data preprocessing and transformation, automated identification of cell populations, and differential analysis of sample groups. No previous knowledge of R is required.
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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.: Kaluza, FlowJo, Infinicyt)
Courses objectives : Topics:
Foundations of multidimensional data analysis.
Practical training on datasets in R: from pre-processing to visualization.
Clean data, clean results. Discovering trajectories in your data.
Standardization and reproducibility: the keys to generate good data for unsupervised analysis.
Accelerating answers with the Cytobank platform and autogating.
Exploring high-dimensional data in FlowJo.
Dimensionality reduction and clustering: pitfalls and practicalities.
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.