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FlowSOM algorithm speeds time to analysis and quality of clustering with self-organizing maps (SOMs) that can reveal how all markers are behaving on all cells, and can detect subsets that might otherwise be missed. If you have a large study with many events per sample or many samples, FlowSOM enables you to include all your data in the analysis, instead of restrictively subsampling. Leveraging the power of the Cytobank cloud, users can scale their compute to run up to 90 million events through FlowSOM in only 3.5 hours We’ve worked closely with Sofie Van Gassen, the original co-author of the FlowSOM algorithm, and her team to integrate FlowSOM seamlessly into the Cytobank platform. And now we’re honored to have her as our guest on this webinar. Join Cytobank’s own Senior Application Scientist Qianjun Zhang, as she leads an overview of the new functionality, and gain new insights and tools: • Learn more about Machine Learning-based clustering and how FlowSOM compares to other clustering methods or manual gating • Understand how to recognize the best applications for FlowSOM vs. other algorithms in the pipeline • See FlowSOM in action and get started quickly using our free demo dataset Afterward, get your questions answered in a live Q&A with Sofie and our scientific team.