Yvan Saeys' group develops best methods for automated flow cytometry analysis

Scientists from the team of Yvan Saeys (VIB Inflammation Research Center, UGent) have developed novel computational tools to automate the analysis of flow cytometry data. Using their algorithms, they were able to obtain the best performance in the FlowCAP IV challenge.

These new tools, FloReMi and FlowSOM, pave the way towards reproducible and automated analyses of high-throughput single-cell measurements, providing scientists with a novel type of data mining techniques to extract more knowledge from their data.

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