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DESCRIPTION:&ldquo\;Singled Out: Using Single-Cell Data to Identify Signaling Trends in Leukemia&rdquo\;
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.
SUMMARY:Science Lecture Series: RB McGee
DTSTART:20170406T201000Z
DTEND:20170406T211000Z
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