Presentation Information
[SS06-06]Machine learning methods for nonequilibrium landscape and spatiotemporal dynamics reconstruction
*Tiejun Li1 (1. Peking University (China))
Keywords:
nonequilibrium landscape construction,time-series snapshots transcriptomics
Machine learning has already had a tremendous impact across various fields of science. I will draw from our group's recent studies and present two case examples—constructing the energy landscape of high-dimensional non-equilibrium dynamical systems and spatiotemporal dynamics analysis of single-cell transcriptome data—to illustrate the important applications of machine learning in computational biology.