기초과학연구원 의생명수학그룹
On January 27, 2023, Seokjoo Chae gave a talk on “Optimal information networks: Application for data-driven integrated health in populations”, Servadio, Joseph L., and Matteo Convertino, Science Advances 4.2 (2018): e1701088.
On January 20, 2023, Yun Min Song gave a talk on “A scalable approach for solving chemical master equations based on modularization and filtering”, Fang, Zhou, Ankit Gupta, and Mustafa Khammash., bioRxiv (2022).
On January 12, 2023, Hyun Kim gave a talk on “Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell Genomics”, Lin, Baihan., arXiv preprint arXiv:2204.14048 (2022).
On January 6, 2023, Aurelio A. de los Reyes V gave a talk on “Bayesian Physics Informed Neural Networks for real-world nonlinear dynamical systems”, Linka, Kevin, et al., Computer Methods in Applied Mechanics and Engineering Volume 402, 1 December 2022, 115346
On December 30, 2022, Candan Celik gave a talk on “Analytical time-dependent distributions for gene expression models with complex promoter switching mechanisms”,Jia, Chen, and Youming Li, BioRxiv (2022).
On December 23, 2022, Olive Cawiding gave a talk on “Optimal control of aging in complex networks”, Sun, Eric D., Thomas CT Michaels, and L. Mahadevan, Proceedings of the National Academy of Sciences 117.34 (2020): 20404-20410. at the Journal Club.
On December 16, 2022, Eui Min Jeong gave a talk on “Role of DNA binding sites and slow unbinding kinetics in titration-based oscillators”, Karapetyan, Sargis, and Nicolas E. Buchler, Physical Review E 92.6 (2015): 062712. at the Journal Club.
On December 2, 2022, Seho Park gave a talk on “Multiparameter persistent homology landscapes identify immune cell spatial patterns in tumors,” Vipond, Oliver, et al, Proceedings of the National Academy of Sciences 118.41 (2021): e2102166118. at the Journal Club.
On November 19, 2022, Dongju Lim gave a talk on “Detecting critical state before phase transition of complex biological systems by hidden Markov model,” Chen, Pei, et al. Bioinformatics 32.14 (2016): 2143-2150. at the Journal Club.
On November 11, 2022, Hyeontae Jo gave a talk on “PI-VAE: Physics-Informed Variational Auto-Encoder for stochastic differential equations,”
Zhong, Weiheng, and Hadi Meidani, Computer Methods in Applied Mechanics and Engineering 403 (2023): 115664. at the Journal Club.