Applied Math- Bridging Data and Dynamics in Single Cells through Machine Learning
Fri, 31 March, 2023
3:00pm - 4:00pm
Date: Friday March 31st at 3:00-4:00 pm EST
Place: Zoom https://gwu-edu.zoom.us/j/95224177633
Speaker: Peijie Zhou (UCI)
Title: Bridging Data and Dynamics in Single Cells through Machine Learning
Abstract: The rapid development of single-cell sequencing technologies provides unprecedented resolutions to study the dynamical process of cell-state transitions during development and complex disease. Mathematically, the transitions can be modeled as a (stochastic) dynamical system with a multi-scale structure.
In this talk, we will discuss how recent developments in machine learning have allowed us to use dynamical systems techniques to analyze the single-cell RNA sequencing (scRNA-seq) datasets of gene expressions. We will introduce the MuTrans algorithm, which uses a low-dimensional dynamical manifold to uncover the underlying attractor basins and transition probabilities in snapshot data. We will also present the scTT (single-cell transition tensor) and spliceJAC algorithms, which use non-equilibrium dynamical systems theory to analyze the stability of attractors within data and identify transition-driving genes in gene expression and splicing processes.