Biology – Quantitative Biology – Quantitative Methods
Scientific paper
2011-05-04
Biology
Quantitative Biology
Quantitative Methods
accepted for the 48th ACM/IEEE Design Automation Conference
Scientific paper
Cellular populations are typically heterogenous collections of cells at different points in their respective cell cycles, each with a cell cycle time that varies from individual to individual. As a result, true single-cell behavior, particularly that which is cell-cycle--dependent, is often obscured in population-level (averaged) measurements. We have developed a simple deconvolution method that can be used to remove the effects of asynchronous variability from population-level time-series data. In this paper, we summarize some recent progress in the development and application of our approach, and provide technical updates that result in increased biological fidelity. We also explore several preliminary validation results and discuss several ongoing applications that highlight the method's usefulness for estimating parameters in differential equation models of single-cell gene regulation.
Ash Joshua N.
Eisenberg Marisa C.
Siegal-Gaskins Dan
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