We develop modeling and analysis approaches for quantifying the in vivo evolution of clonal blood cell populations. A stochastic birth-death-immigration (BDI) model is used to describe experiments that measure hematopoietic stem cell tags and T cell immunotypes. We investigate a number of important processes that affect the predictions of the BDI model, including stochasticity, subsampling, regulation, and heterogeneity in rates. Using variations of this underlying mathematical framework, we estimate the effective proliferative potential of progenitor cells, the heterogeneity of naive T cell output by the thymus, and the heterogeneity of their homeostatic proliferation rates.
12月3日
3:00pm - 4:00pm

地點
LTF, Academic Building
講者/表演者
Prof. Tom CHOU
University of California, Los Angeles
University of California, Los Angeles
主辦單位
Department of Mathematics
聯絡方法
mathseminar@ust.hk
付款詳情
對象
Alumni, Faculty and Staff, PG Students, UG Students
語言
英語
其他活動

3月24日
研討會, 演講, 講座
IAS / School of Science Joint Lecture - Pushing the Limit of Nonlinear Vibrational Spectroscopy for Molecular Surfaces/Interfaces Studies
Abstract
Surfaces and interfaces are ubiquitous in Nature. Sum-frequency generation vibrational spectroscopy (SFG-VS) is a powerful surface/interface selective and sub-monolayer sensitive spect...

11月22日
研討會, 演講, 講座
IAS / School of Science Joint Lecture - Leveraging Protein Dynamics Memory with Machine Learning to Advance Drug Design: From Antibiotics to Targeted Protein Degradation
Abstract
Protein dynamics are fundamental to protein function and encode complex biomolecular mechanisms. Although Markov state models have made it possible to capture long-timescale protein co...