기초과학연구원 의생명수학그룹
On March 04, 2022, Seho Park gave a talk on “Modeling polypharmacy side effects with graph convolutional networks”, Zitnik et al., Bioinformatics, 2018.
On March 3, 2022, Qing Nie from the University of California, Irvine, gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Spatiotemporal reconstruction of static single-cell genomics data.”
On February 18, 2022, Bryan Hernandez gave a talk on “A Deficiency-Based Approach to Parametrizing Positive Equilibria of Biochemical Reaction Systems”, Johnston et al., Bulletin of Mathematical Biology, 2019
On February 11, 2022, Hyun Kim gave a talk on “Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations”, Mircea et al., Genome Biology, 2022
On February 08, 2022, Yongin Choi from UNIST gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Analysis of epidemic disease control using mathematical models.”
On February 08, 2022, Slghi Kim from UNIST gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Stochastic Modeling of Foot and Mouth Diseases with Vehicle Network & Assessment of Social Distancing for Controlling COVID-19 in Korea.”
On February 4, 2022, Aurelio A. de los Reyes V gave a talk on “Mechanisms for the generation of robust circadian oscillations through ultrasensitivity and differential binding affinity”, Behera, Junco, and Vaikuntanathan, The Journal of Physical Chemistry B, 2021
On January 27, 2022, Hang Joon Kim from the University of Cincinnati gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Introduction to Bayesian Variable Selection”.
On January 19, 2022, Seokmin Ha gave a talk on “Network design principle for robust oscillatory behaviors with respect to biological noise”, Qiao et al, bioRxiv, 2021
On January 18, 2022, Minseok Seo from Korea University gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Current status of multi-omics research field and necessity of gene-by-environment (GxE) interaction modeling”.