기초과학연구원 의생명수학그룹
CANCELED due to unexpected circumstances This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) Abstract: While the presence of immune cells within solid tumours was initially viewed positively, as the host fighting to rid itself of a foreign body, we now know that the tumour can manipulate immune cells so that …
We will discuss about “Nonlinear delay differential equations and their application to modeling biological network motifs”, Glass et al., Nature Communications, 2021 Abstract: Biological regulatory systems, such as cell signaling networks, nervous systems and ecological webs, consist of complex dynamical interactions among many components. Network motif models focus on small sub-networks to provide quantitative insight …
Abstract This presentation include the following two topics. First of all, we consider a spread model of COVID-19 with time-dependent parameters via deep learning. We developed a SIR model with time-dependent parameters via deep learning methods. Furthermore, we validated the model with the conventional model to confirm its convergent nature. Next, We also developed a …
This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) Abstract: Questions about the mechanistic operation of biological systems are naturally formulated as stochastic processes, but confronting such models with data can be challenging. In this talk, I describe the essence of the difficulty, highlighting both the technical issues and the importance …
We will discuss about “The Oscillation Amplitude, Not the Frequency of Cytosolic Calcium, Regulates Apoptosis Induction ”, Qi et al., iScience, 2020 Abstract: Although a rising concentration of cytosolic Ca2+ has long been recognized as an essential signal for apoptosis, the dynamical mechanisms by which Ca2+ regulates apoptosis are not clear yet. To address this, we constructed …
We will discuss about “A spatio-temporal model to reveal oscillator phenotypes in molecular clocks: Parameter estimation elucidates circadian gene transcription dynamics in single-cells”, Unosson et al., bioRxiv, 2021 We propose a stochastic distributed delay model together with a Markov random field prior and a measurement model for bioluminescence-reporting to analyse spatiotemporal gene expression in intact …
This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) Abstract: Immune sentinel cells must initiate the appropriate immune response upon sensing the presence of diverse pathogens or immune stimuli. To generate stimulus-specific gene expression responses, immune sentinel cells have evolved a temporal code in the dynamics of stimulus responsive transcription factors. …
We will discuss about “Balanced truncation for model reduction of biological oscillators”, Padoan et al., Biological Cybernetics, 2021 Model reduction is a central problem in mathematical biology. Reduced order models enable modeling of a biological system at different levels of complexity and the quantitative analysis of its properties, like sensitivity to parameter variations and resilience …
Sleep Tree: A workshop on an interdisciplinary approach to sleep disorders. This workshop is an interdisciplinary workshop across Mathematics, Medicine, Psychology, and Psychiatry to investigate sleep disorders. Researchers from groups led by Prof. Jae Kyoung Kim (KAIST/IBS), Sooyeon Suh (Sungshin Women's Univ.), Eun Yeon Joo (Sungkyunkwan Univ./Samsung Medical Center), and Su Jung Choi (Sungkyunkwan Univ./ …
This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) Abstract: Within a given species, fluctuations in egg or embryo size is unavoidable. Despite this, the gene expression pattern and hence the embryonic structure often scale in proportion with the body length. This scaling phenomenon is very common in development and regeneration …
We will discuss about “Filtering and inference for stochastic oscillators with distributed delays”, Calderazzo et al., Bioinformatics, 2018 at the Journal Club Motivation The time evolution of molecular species involved in biochemical reaction networks often arises from complex stochastic processes involving many species and reaction events. Inference for such systems is profoundly challenged by the …
Abstract TBA
