기초과학연구원 의생명수학그룹
On September 2, 2022, Dongju Lim gave a talk on “Hidden Markov models for monitoring circadian rhythmicity in telemetric activity data”, Huang et al., 2018, Journal of The Royal Society Interface at the Journal Club.
On August 26, 2022, Seokmin Ha gave a talk on “Inferring Regulatory Networks from Expression Data Using Tree-Based Methods” Huynh-Thu et al., PLoS ONE (2010) at the Journal Club.
On August 16, 2022, Olivia Walch from the University of Michigan gave a talk at the IBS Biomedical Mathematics Seminar. The title of her talk was “Circadian Interventions in Shift Workers: Coupling Math with User-Centered Design.”
On August 12, 2022, Hyukpyo Hong gave a talk on “Molecular convolutional neural networks with DNA regulatory circuits”, Pei, Hao, et al., Nature Machine Intelligence (2022) at the Journal Club.
On August 05, 2022, Hyeontae Jo gave a talk on “Neural Ordinary Differential Equations”, Chen, Ricky TQ, et al., Advances in neural information processing systems 31 (2018) at the Journal Club.
On July 29, 2022, Seokjoo Chae gave a talk on “Learning stable and predictive structures in kinetic systems”, Niklas Pfister , Stefan Bauer, and Jonas Peters. PNAS, 2019 at the Journal Club.
On July 22, 2022, Yun Min Song gave a talk on “Accuracy and limitations of extrinsic noise models to describe gene expression in growing cells”, Jia, Chen, and Ramon Grima, bioRxiv (2022) at the Journal Club.
On July 22, 2022, Kyohei Kondo from Tokyo Institute of Technology gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Effects of thermal environment for good sleep in the intermediate season of autumn.”
On July 8, 2022, Bryan Hernandez gave a talk on “Chemical Organisation Theory”, Dittrich, Peter, and Pietro Speroni Di Fenizio, Bulletin of mathematical biology 69.4 (2007): 1199-1231, at the Journal Club.
On July 5, 2022, Junil Kim from Soongsil University gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “TENET+: a tool for reconstructing gene networks by integrating single cell expression and chromatin accessibility data.”