“Singled Out: Using Single-Cell Data to Identify Signaling Trends in Leukemia”
Mass cytometers can record tens of features for millions of cells in a sample, and in particular, for leukemic cells. Many methods consider how to cluster or identify populations of phenotypically similar cells within cytometry data, but there has yet to be a connection between cell activity and other features and these groups or clusters. We use geometric ideas and statistical tools to consider how cell cycle and signaling features vary as a function of the cell populations. This consideration leads to a better understanding of the nonlinear relationships that exist in the cytometry data.
RB McGee is a Post-Doctoral Fellow at the Mathematical Biosciences Institute at The Ohio State University.