TITLE: “A state space model to characterize the phenotypic variation in a panel of drug treatment time course experiments.”
ABSTRACT: As new technologies enable high throughput collection of marker measurements in drug treatment time course experiments, we are faced with a need to characterize the observed cellular behaviors over time. I will present a model that builds on previous approaches to produce cell state trajectories that emphasize the variation between cell lines and treatments. The resulting approach provides another means to generate hypotheses about the underlying drivers of behavior from global trends in the collected data.
