기초과학연구원 의생명수학그룹
This talk will be presented online. Zoom link: 997 8258 4700 (pw: 1234) Abstract: From the venation patterns of leaves to spider webs, roads in cities, social networks, and the spread of COVID-19 infections and vaccinations, the structure of many systems is influenced significantly by space. In this talk, I will discuss the application of …
Abstract: Consider a biomolecular reaction network that exhibits robust perfect adaptation to disturbances from several parallel sources. The well-known Internal Model Principle of control theory suggests that such systems must include a subsystem (called the “internal model”) that is able to recreate the dynamic structure of the disturbances. This requirement poses certain structural constraints on the network …
This talk will be presented online. Zoom link: 997 8258 4700 (pw: 1234) Abstract: We will discuss hormone circuits and their dynamics using new models that take into account timescales of weeks due to growth of the hormone glands. This explains some mysteries in diabetes and autoimmune disease.
We will discuss about "Physics-informed learning of governing equations from scarce data", Chen et al., Nature Communications, 2021 Abstract: Extracting governing equations from data is a central challenge in many diverse areas of science and engineering. Data are abundant whereas models often remain elusive, as in climate science, neuroscience, ecology, finance, and epidemiology, to name …
4월 5일 오후 5시, <대학원생 때 알았더라면 좋았을 것들>의 저자이신 권창현 교수님께서 대학원생 길라잡이라는 주제로 워크샵을 진행해주실 예정입니다.
<경영과학을 위한 줄리아 언어 프로그래밍>의 저자이신 권창현 교수님께서 4월 5일 오후 8시 줄리아 프로그래밍 튜토리얼을 진행합니다. 본 튜토리얼은 한국어로 진행됩니다.
This talk will be presented online. Zoom link: 997 8258 4700 (pw: 1234) Abstract: A macroscopic theory for cellular states with steady-growth is presented, based on consistency between cellular growth and molecular replication, together with robustness of phenotypes against perturbations. Adaptive changes in high-dimensional phenotypes are shown to be restricted within a low-dimensional slow manifold, …
We will discuss about "RTransferEntropy — Quantifying information flow between different time series using effective transfer entropy", Behrendt et al., SoftwareX, 2019 Abstract: This paper shows how to quantify and test for the information flow between two time series with Shannon transfer entropy and Rényi transfer entropy using the R package RTransferEntropy. We discuss the methodology, the bias …
This talk will be presented online. Zoom link: 997 8258 4700 (pw: 1234) Abstract: TBA
This talk will be presented online. Zoom link: 997 8258 4700 (pw: 1234) Abstract: Tuberculosis (TB) is one of the world’s deadliest infectious diseases. Caused by the pathogen Mycobacterium tuberculosis (Mtb), the standard regimen for treating TB consists of treatment with multiple antibiotics for at least six months. There are a number of complicating factors …
We will discuss about "A topological data analysis based classifier", Kindelan et al., arXiv, 2022 Abstract: Topological Data Analysis is an emergent field that aims to discover the underlying dataset’s topological information. Topological Data Analysis tools have been commonly used to create filters and topological descriptors to improve Machine Learning (ML) methods. This paper proposes …
This talk will be presented online. Zoom link: 997 8258 4700 (pw: 1234) Abstract: Metastasis and therapy resistance cause over 90% of cancer-related deaths. Despite extensive ongoing efforts, no unique genetic or mutational signature has emerged for metastasis. Instead, the ability of genetically identical cells to adapt reversibly by exhibiting multiple phenotypes (phenotypic/non-genetic heterogeneity) and …
