Unfold High-Dimensional Clouds for Exhaustive Gating of Flow Cytometry Data.Flow cytometry is able to measure the expressions of multiple proteins simultaneously at the single-cell level.  A flow cytometry experiment on one biological sample provides measurements of several protein markers on or inside a large number of individual cells in that sample.  Currently, the most widely used analytical approach in the flow cytometry community is manual gating on a sequence of nested biaxial plots, which is highly subjective, labor intensive, and not exhaustive. 
Flow cytometry
Currently, the most widely used analytical approach in the flow cytometry community is manual gating on a sequence of nested biaxial plots, which is highly subjective, labor intensive, and not exhaustive.  Instead of automating the analysis, we develop novel visualizations to facilitate manual gating. 
manual gating
To address those issues, a number of methods have been developed to automate the gating analysis by clustering algorithms. 
clustering algorithms
We demonstrate the utility of the proposed visualization using real data, and provide quantitative comparison to visualizations generated from principal component analysis and multidimensional scaling.
principal component analysis
We demonstrate the utility of the proposed visualization using real data, and provide quantitative comparison to visualizations generated from principal component analysis and multidimensional scaling.
multidimensional scaling