기초과학연구원 의생명수학그룹
We will discuss about "A Deficiency-Based Approach to Parametrizing Positive Equilibria of Biochemical Reaction Systems", Johnston, Müller, and Pantea, Bulletin of Mathematical Biology, 2019 We present conditions which guarantee a …
This talk will be presented online. Zoom link: 997 8258 4700 (pw: 1234) Abstract: Cells make fate decisions in response to dynamic environments and multicellular structure emerges from interplays among …
We will discuss about "Modeling polypharmacy side effects with graph convolutional networks", Zitnik, Agrawal, and Leskovec, Bioinformatics, 2018 Motivation The use of drug combinations, termed polypharmacy, is common to treat …
Abstract: Genetic feedback loops can be used by cells as a means to regulate internal processes or keep track of time. It is often thought that, for a genetic circuit …
Abstract: The discovery of governing equations from scientific data has the potential to transform data-rich fields that lack well-characterized quantitative descriptions. Advances in sparse regression are currently enabling the tractable …
This talk will be presented online. Zoom link: 997 8258 4700 (pw: 1234) Abstract: I will give an introduction to topological data analysis (TDA), in which one uses ideas from …
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 …
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 …
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 …
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 …
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 …
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 …