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Visualization of Clusters of
High Dimensional Single Cell Data

Mass cytometry is a popular way nowadays used for determination of the properties of cells. These data from mass cytometry contain immune system signatures made up of high dimensional vectors which create a huge barrier for visualization. In this project, we propose a set of linked graphs with proper interactions that provide better insights about the data while preserving details.

More information and how to explore

Posted by: Ruoqing Sun ,  Yuan Zhou ,  Yun Zeng.