기초과학연구원 의생명수학그룹
The speaker presents how to use Rcpp (Seamless R and C++ Integration) and RcppArmadillo packages ('Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library) for statistical programming.
Registration is required to attend this talk (link: https://www.ibric.org/seminar/#), and it will be presented in Korean. Abstract: 생체 시계 (Circadian clock)를 구성하는 핵심 단백질인 PERIOD (PER)의 양은 12시간 동안 증가했다가 12시간 동안 감소하며 24시간 주기로 변화한다. 이 24시간 주기의 PER 리듬이 우리 몸의 시계 역할을 하여 수면 시간 등 다양한 행동 및 생리 작용의 시간을 …
Abstract: TBA
Abstract: TBA
Oscillatory signals are ubiquitously observed in many different intracellular systems such as immune systems and DNA repair processes. While we know how oscillatory signals are created, we do not fully understand what a critical role they play to regulate signal pathway systems in cells. Recently by using a stochastic nucleosome system, we found that a …
Abstract: TBA
Abstract: The biological master clock, the suprachiasmatic nucleus (SCN) of a mouse, contains many (~20,000) clock cells heterogeneous, particularly with respect to their circadian period. Despite the inhomogeneity, within an intact SCN, they maintain a very high degree of circadian phase coherence, which is generally rendered visible as system-wide propagating phase waves. The phase coherence …
Abstract: We consider the problem of nonparametric imputation using neural network models. Neural network models can capture complex nonlinear trends and interaction effects, making it a powerful tool for predicting missing values under minimum assumptions on the missingness mechanism. Statistical inference with neural network imputation, including variance estimation, is challenging because the basis for function …
Abstract: TBA
Abstract: Inference method for a stochastic target-mediated drug disposition model via ABC-MCMC In this study, we discuss model robustness. Model robustness is consistent performance over variations of parameters. We formulate a stochastic target-mediated drug (TMDD) model, one of the pharmacokinetic models, to capture bi-exponential drug decay in plasma. A stochastic process is used to account …
Abstract: Systems biology seeks to build quantitative predictive models of biological system behavior. Biological systems, such as the mammalian immune system, operate across multiple spatiotemporal scales with a myriad of molecular and cellular players. Thus, mechanistic, predictive models describing such systems need to address this multiscale nature. A general outstanding problem is to cope with …
Abstract: Most organisms exhibit various endogenous oscillating behaviors, which provides crucial information about how the internal biochemical processes are connected and regulated. Along with physical experiments, studying such periodicity of organisms often utilizes computer experiments relying on ordinary differential equations (ODE) because configuring the internal processes is difficult. Simultaneously utilizing both experiments, however, poses a …