Study stochastic biochemical systems via their underlying network structures

Study stochastic biochemical systems via their underlying network stru…

4500
강연자 김진수
소속 포항공과대학교

 

When a biological system is modeled using a mathematical process, the following step is normally to estimate the system parameters. Despite the numerous computational and statistical techniques, estimating parameters for complex systems can be a difficult task. As a result, one can think of revealing parameter-independent dynamical properties of a system. More precisely, rather than estimating parameters, one can focus on the underlying structure of a biochemical system to derive the qualitative behavior of the associated mathematical process. In this talk, we will discuss study of qualitative behaviors of stochastic biochemical systems using reaction networks. A reaction network is a graphical configuration of a biochemical system. One of the key problems in this field is to relate dynamical properties and the underlying reaction network structure. The goal of this talk is to 1. walk you through the basic modeling aspect of the stochastically modeled reaction networks, and 2. to show how to derive stability (ergodicity) of the associated stochastic process solely based on the underlying network structure.

2023-1 Stochastic PDE(이재윤)

강연자 : 이재윤 | 소속 : KIAS

2023-1 Probabilistic Potential Theroy (강재훈)

강연자 : 강재훈 | 소속 : BK21

<학부생을 위한 강연> 수학과 보험산업

강연자 : 유신옥 | 소속 : 라이나생명