Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment ComparisonsSophia A. Campione 1, Christina M. Kelliher 2, David A. Orlando 3, Trung Q. Tran 4, Steven B. Haase 1
1Department of Biology, Duke University, 2Department of Biology, University of Massachusetts, 3Orlando Data Science LLC, 4Department of Computer Science, Duke University
One challenge of analyzing synchronized time-series experiments is that the experiments often differ in the length of recovery from synchrony and the cell-cycle period. Thus, the measurements from different experiments cannot be analyzed in aggregate or readily compared. Here, we describe a method for aligning experiments to allow for phase-specific comparisons.
