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Modeling Subcellular Mass Distributions with Optimal Transport: Applications in Cancer
March 29 @ 12:00 pm - 1:00 pm UTC-5
Microscopic imaging techniques have given us access to high fidelity measurements of subcellular molecule and protein mass distributions. Quantitative analysis of these has the potential to elucidate biological mechanisms as well help perform diagnosis and clinical outcome predictions in cancer and other pathologies. By using the mathematics of optimal transport we can quantitatively compare distributions of mass in different cells and in different populations. We show how this concept can be used to create mathematical models that can elucidate information about mass and protein distributions in different cells as well as inform clinical decision making. In particular, we use this emerging mathematical modeling framework to determine shared nuclear chromatin distribution features that predict malignancy across multiple cancers, among other applications.
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Gustavo Rhode, Ph.D.
Professor of Biomedical Engineering and Electrical and Computer Engineering
University of Virginia