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 November 04, 2022, Hyukpyo Hong gave a talk on “Model Reduction for the Chemical Master Equation: an Information-Theoretic Approach,” Öcal, Kaan, Guido Sanguinetti, and Ramon Grima., arXiv preprint arXiv:2210.05329 (2022) at the Journal Club.
On October 28, 2022, Seokjoo Chae gave a talk on “Inferring microenvironmental regulation of gene expression from single-cell RNA sequencing data using scMLnet with an application to COVID-19,” Cheng, Jinyu, et al., Briefings in bioinformatics 22.2 (2021): 988-1005. at the Journal Club.
On October 21, 2022, Yun Min Song gave a talk on “Rhythmicity is linked to expression cost at the protein level but to expression precision at the mRNA level,” David Laloum, and Marc Robinson-Rechavi, PLoS computational biology 18.9 (2022) at the Journal Club.