A code of many colors: using fluorescence microscopy time series data to uncover causes of heterogeneity in cell fate decisions
When
1 – 2:30 p.m., Nov. 8, 2023
Where
Speaker: Woody March Steinman, Program in Applied Mathematics, University of Arizona
Abstract: Cells respond in a variety of ways to internal and external stresses – they can grow, die, or repair themselves, among other fate decisions. Prior experiments have shown a strong correlation between cellular signaling molecules and cell fate in response to oxidative stress. I’ll be discussing classification problems for determining cell fate decisions from early time series measurements, with an eye toward further investigating new models of cell signal dynamics.