This course will provide learners with a methodology for applying an unbiased approach to data analysis in cytometry.
Hierarchical gating is the traditional method for the analysis of flow cytometry data, and its outcome relies heavily on the operator judgement and experience. Furthermore, as the number of parameters available increases, the complexity of the levels of gating can become unmanageable. With such a targeted approach, there is a risk that potentially important populations of cells are missed.
The ‘High-dimensional data analysis for cytometry’ course will provide learners with a methodology for applying an unbiased approach to data analysis in cytometry, looking at the data as a whole and preventing the disadvantages of hierarchical gating. This training is developed and delivered by the expert teams working in the Crick Flow Cytometry and Bioinformatics and Biostatistics Science Technology Platforms (STPs).
The event is designed for researchers who have flow or mass cytometry data sets that they want to interrogate in a less biased way. Data analysis in this course relies on the R statistical programming language; learners will be shown how to extract data from Flow Cytometry Standard (FCS) files, concatenate data from multiple FCS files, and incorporate metadata relevant to the experimental design. Learners will also explore different dimensional reduction methods, learning about the advantages and disadvantages of each and how to use them.
This training includes hands-on sessions guided by expert trainers, where learners will experiment with clustering algorithms, examine their efficacy and how to identify the cell populations they generate. After completing this course, learners will be able to generate unbiased assessments of their data, greatly complementing the analysis techniques they are already using.
This course is ideal for anyone who wants to advance their knowledge of analysis of high-dimensional flow and mass cytometry data. Before attending the training, learners should:
This training has a limited number of available spaces. Candidates are required to apply by completing the form below detailing their experience and skills. Applications will be reviewed by the lead educators and successful candidates will be invited to register. Registration fees are £460; discounted registration fees of £368 are available to staff and students from Imperial College London, University College London and King’s College London.
Applications will be reviewed on a rolling basis and will close once all spots are filled, so apply at your earliest convenience to avoid disappointment.
This training is approved by the Royal Society of Biology. Training course approval is an independent review process that recognises relevant, high quality training. Upon completion of this course, attendees can claim 48 CPD points.
By applying and/or registering to this course, you acknowledge that you have read, understood, and agreed to the Terms and Conditions.
Contact our technical training team at techtraining@crick.ac.uk
