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Introduction to modern computational cytometry techniques
The aim of this workshop is to introduce the participants to modern computational cytometry techniques. A mixture of theoretical and practical courses will show the participants how to set up a pipeline using the R programming language, including key steps such as data preprocessing and transformation, automated identification of cell populations with the FlowSOM algorithm and differential analysis of sample groups. No previous knowledge of R is assumed.
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Code : 2021-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 softwares (eg.: Kaluza, FlowJo, Infinicyt)
Courses objectives : Introduction to modern computational cytometry techniques
Setting up a pipeline using the R programming language, including key steps such as data preprocessing and transformation
Automated identification of cell populations with the FlowSOM algorithm and differential analysis of sample groups.
Costs : Public sector: 400 CHF
Industry, pharma: 600 CHF
Costs apply to registrations up to 2 weeks prior to course start; later registrations will be more expensive.
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 softwares (eg.: Kaluza, FlowJo, Infinicyt)
Courses objectives : Introduction to modern computational cytometry techniques
Setting up a pipeline using the R programming language, including key steps such as data preprocessing and transformation
Automated identification of cell populations with the FlowSOM algorithm and differential analysis of sample groups.
Costs : Public sector: 400 CHF
Industry, pharma: 600 CHF
Costs apply to registrations up to 2 weeks prior to course start; later registrations will be more expensive.