기초과학연구원 의생명수학그룹
I present time delay estimation problems in astronomy as a part of time delay cosmography to infer the Hubble constant, the current expansion rate of the Universe. Time delay cosmography is based on strong gravitational lensing, an effect that multiple images of the same astronomical object appear in the sky because paths of the light …
This satellite workshop for 2024 SMB-KSMB Annual Meeting will be held at IBS in Daejeon, conveniently located about an hour from Seoul by train or approximately three hours from Incheon airport by bus. We're planning a comprehensive program, featuring six instructive tutorials, each lasting two hours. These sessions will cover various methodologies pivotal to our …
In this talk, we discuss the paper "Holimap: an accurate and efficient method for solving stochastic gene network dynamics" by Chen Jia and Ramon Grima, bioRxiv, 2024. Abstract Gene-gene interactions are crucial to the control of sub-cellular processes but our understanding of their stochastic dynamics is hindered by the lack of simulation methods that can accurately and efficiently …
In this talk, we discuss the paper "Stochastic representations of ion channel kinetics and exact stochastic simulation of neuronal dynamics" by D. F. Anderson, B. Ermentrout and P. J. Thomas, Journal of Computational Neuroscience, 2015. Abstract In this paper we provide two representations for stochastic ion channel kinetics, and compare the perfor- mance of exact …
In this talk, we discuss the paper "Temperature compensation through kinetic regulation in biochemical oscillators" by HaochenFu, Chenyi Fei, Qi Ouyang, and Yuhai Tu, to appear in PNAS. Abstract Although individual kinetic rates in biochemical reactions are sensitive to temperature, most circadian clocks exhibit a relatively constant period across a wide range of temperatures, a phenomenon called …
Presentor(s) Mentor Talk title Jaehun Jeong Gyuyoung Hwang Analyzing coupled SCN cell frequencies of mammals for multi-step transcriptional model Hyunsuk Choo, Yonghee Lee Seok Joo Chae Development of a data-driven causality detection method using Taken's Theorem Juhyeon Kim Dongju Lim Accurate initial condition for circadian pacemaker model estimating the circadian phase Kyeongtae Ko Dongju …
Abstract: A system of ordinary differential equations (ODEs) is one of the most widely used tools to describe a deterministic dynamical system. In general, such ODEs involve nonlinear equations, which make analysis of dynamical systems difficult. In this talk, we introduce Koopman theory, which offers a linear representation – not an approximation – of nonlinear dynamics. In particular, we present a data-driven algorithm to find such a linear representation
In this talk, we discuss the paper "RNA velocity of single sells" by Gioele La Manno et.al., Nature, 2018. Abstract RNA abundance is a powerful indicator of the state of individual cells. Single-cell RNA sequencing can reveal RNA abundance with high quantitative accuracy, sensitivity and throughput. However, this approach captures only a static snapshot at …
Abstract: Wearable biosensors measure physiological variables with high temporal resolution over multiple days and are increasingly employed in clinical settings, such as continuous glucose monitoring in diabetes care. Such datasets bring new opportunities and challenges, and patients, clinicians, and researchers are today faced with a common challenge: how to best summarize and capture relevant information …
In this talk, we discuss the paper "A universal description of stochastic oscillators", by Alberto Perez-Cervera et. al., PNAS, 2023. Abstract Many systems in physics, chemistry, and biology exhibit oscillations with a pronounced random component. Such stochastic oscillations can emerge via different mechanisms, for example, linear dynamics of a stable focus with fluctuations, limit-cycle systems …
In this talk, we discuss the paper, "SMSSVD : Submatrix selection singular value decomposition", by Rasmus Henningsson and Magnus Fontes, Bioinformatics, 2019. Abstract Motivation High throughput biomedical measurements normally capture multiple overlaid biologically relevant signals and often also signals representing different types of technical artefacts like e.g. batch effects. Signal identification and decomposition are accordingly …
Abstract: The realization that microbiomes, associated with virtually all multicellular organisms, have tremendous impact on their host health is considered as one of the most important scientific discoveries in the last decade. The host associated microbiomes, composed of tens to hundreds of co-existing microbial species, are highly heterogenous at multiple scales (e.g. between different hosts …