기초과학연구원 의생명수학그룹
We propose a kernel-based estimator to predict the mean response trajectory for sparse and irregularly measured longitudinal data. The kernel estimator is constructed by imposing weights based on the subject-wise similarity on L2 metric space between predictor trajectories, where we assume that an analogous fashion in predictor trajectories over time would result in a similar …
We will discuss about “Parameter Estimation of Power Electronic Converters With Physics-Informed Machine Learning”, Zhao, Shuai, et al., IEEE Transactions on Power Electronics 37.10 (2022): 11567-11578. Abstract Physics-informed machine learning (PIML) has been emerging as a promising tool for applications with domain knowledge and physical models. To uncover its potentials in power electronics, this article …
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Dongju Lim: Mood Prediction for Bipolar Disorder Patient with Sleep Pattern Information Eui Min Jeong:Noise attenuation through the multiple repression mechanism in transcription Hyeontae Jo: Parameter estimation with discontinuously switching system
We will discuss about “Uncovering specific mechanisms across cell types in dynamical models”, Hauber, Adrian Lukas, Marcus Rosenblatt, and Jens Timmer., bioRxiv (2023): 2023-01. Abstract Ordinary differential equations are frequently employed for mathematical modeling of biological systems. The identification of mechanisms that are specific to certain cell types is crucial for building useful models and to …
To understand nonparametric regression, we should know first what the parametric model is. Simply speaking, the parametric regression model consists of many assumptions and the nonparametric regression model eases the assumptions. I will introduce what assumptions the parametric regression model has and how the nonparametric regression model relieves them. In addition, their pros and cons will …
Abstract: Cell fate specification is a dynamic process during which gene regulatory networks (GRNs) transition between different states and define cell type-specific patterns of gene expression. Identifying such cell type-specific gene regulatory networks is important for understanding how cells differentiate to diverse lineages from a progenitor state, how differentiated cells can be reprogrammed, and how …
We will discuss about “The energy cost and optimal design of networks for biological discrimination”, Yu, Qiwei, Anatoly B. Kolomeisky, and Oleg A. Igoshin., Journal of the Royal Society Interface 19.188 (2022): 20210883. Abstract Many biological processes discriminate between correct and incorrect substrates through the kinetic proofreading mechanism that enables lower error at the cost of …
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Abbas Abbasli: Accurate prediction of in-vivo drug interaction mediated by cytochrome P450 inhibition Hyeongjun Jang: Comparison of the inhibition constant approximation methods
We will discuss about “Wearable data science for personalized digital medicine” Abstract Millions of people currently use wearables such as the Apple Watch to monitor their physical activity, heart rate, and other physiological signals, generating an unprecedented amount of wearable data. This presents an opportunity for digital medicine to advance precision medicine. However, the noisy …
2023 KSIAM-NIMS School on Biomathematics: Statistical Tools for Mathematical Modeling 2023년 6월 24일 - 6월 26일, 3일간 제주 베스트 웨스턴 호텔에서 2023 KSIAM-NIMS School on Biomathematics: Statistical Tools for Mathematical Modeling이 열립니다. 이 튜토리얼에서는 신시내티 대학교의 장원 교수님과 연세대학교의 박재우 교수님께서 3일간 강의를 해주실 예정입니다. 모든 강의는 한국어로 진행됩니다. 자세한 일정은 아래 홈페이지에서 확인하실 수 …