Yun Min Song and Seokjoo Chae
Tea Room, IBS Daejeon, Daejeon, Korea, Republic ofYun Min Song: Noisy delay denoises biochemical oscillators Seokjoo Chae: Reduction of spatiotemporal model and its validity condition
Loading view.
Seminar
Seokhwan Moon, The Internal Model Principle for Biomolecular Control Theory
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofWe will discuss about “ The Internal Model Principle for Biomolecular Control Theory ”, Gupta, Ankit, and Mustafa Khammash., IEEE Open Journal of Control Systems 2 (2023): 63-69. Abstract …
Olive Cawiding, Decomposing predictability to identify dominant causal drivers in complex ecosystems
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofWe will discuss about “ Decomposing predictability to identify dominant causal drivers in complex ecosystems ”,Suzuki, Kenta, Shin-ichiro S. Matsuzaki, and Hiroshi Masuya., Proceedings of the National Academy of Sciences …
Dongju Lim and Olive Cawiding
Tea Room, IBS Daejeon, Daejeon, Korea, Republic ofDongju Lim: Mood Prediction for Bipolar Disorder Patient with Sleep Pattern Information Olive Cawiding: Detecting causality between weather variables and dengue cases in the Philippines
Hyeongjun Jang, Generalized Michaelis–Menten rate law with time-varying molecular concentrations
B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic ofWe will discuss about “Generalized Michaelis–Menten rate law with time-varying molecular concentrations”, Lim, Roktaek, et al.,bioRxiv (2022): 2022-01 Abstract The Michaelis–Menten (MM) rate law has been the dominant paradigm …
Jonathan Rubin, Multiple timescale modeling for neural systems
B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic ofAbstract Mathematical models of biological systems, including neurons, often feature components that evolve on very different timescales. Mathematical analysis of these multi-timescale systems can be greatly simplified by partitioning them …
Dongju Lim, Exact solution of a three-stage model of stochastic gene expression including cell-cycle dynamics
B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic ofWe will discuss about “Exact solution of a three-stage model of stochastic gene expression including cell-cycle dynamics”, Wang, Yiling, et al., bioRxiv (2023): 2023-08. Abstract The classical three-stage model of …
Jonathan Rubin, Qualitative inverse problems: mapping from limited data to properties of dynamics and parameter values for ODE models
KAIST E6-1 1501 Auditorium 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, Republic ofEui Min Jung, Antithetic proportional-integral feedback for reduced variance and improved control performance of stochastic reaction networks
B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic ofWe will discuss about “Antithetic proportional-integral feedback for reduced variance and improved control performance of stochastic reaction networks ”,Briat, Corentin, Ankit Gupta, and Mustafa Khammash., Journal of The Royal Society …
Balazs Erdos, Quantifying the dynamics of postmeal metabolism: Inference from challenge test data
B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic of
Sebastian Walcher, Reaction networks: Reduction of dimension and critical parameters
ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium) (pw: 1234)Abstract: Typically, the mathematical description of reaction networks involves a system of parameter-dependent ordinary differential equations. Generally, one is interested in the qualitative and quantitative behavior of solutions in various …
Yun Min Song, A data-driven approach for timescale decomposition of biochemical reaction networks
B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic ofWe will discuss about “A data-driven approach for timescale decomposition of biochemical reaction networks”, Amir Akbari, Zachary B. Haiman, Bernhard O. Palsson, bioRxiv (2023) Abstract Understanding the dynamics of biological …