기초과학연구원 의생명수학그룹
We will discuss about “Pulsed stimuli entrain p53 to synchronize single cells and modulate cell-fate determination” bioRxiv (2023): 2023-10. Abstract Entrainment to an external stimulus enables a synchronized oscillatory response across …
We will discuss about “MultiVI: deep generative model for the integration of multimodal data” Nature Methods 20.8 (2023): 1222-1231. Abstract Jointly profiling the transcriptome, chromatin accessibility and other molecular properties …
We will discuss about “Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery” IEEE Transactions on neural networks and learning systems 32.9 (2020): 4166-4177. Abstract Symbolic regression …
Abstract: Physiological needs evoke motivational drives to produce natural behaviours for survival. However, the temporally intertwined dynamics of need and motivation have made it challenging to differentiate these two components …
We will discuss about "AI Feynman: A physics-inspired method for symbolic regression",Science Advances 6.16 (2020): eaay2631. Abstract A core challenge for both physics and artificial intelligence (AI) is symbolic regression: …
Abstract: Reconstruction of gene regulatory networks (GRNs) is a powerful approach to capture a prioritized gene set controlling cellular processes. In our previous study, we developed TENET a GRN reconstructor …
We will discuss about "The timing of cellular events: a stochastic vs deterministic perspective", bioRxiv (2023): 2023-07. Abstract Changes in cell state are driven by key molecular events whose timing …
We will discuss about "Linear mapping approximation of gene regulatory networks with stochastic dynamics", Nature communications 9.1 (2018): 3305. Abstract The presence of protein–DNA binding reactions often leads to analytically …
We will discuss about “A trade-off in controlling upstream and downstream noise in signaling networks”, bioRxiv (2023): 2023-08. Abstract Signal transduction, underpinning the function of a variety of biological systems, …
Abstract: Cell-to-cell variability in gene expression exists even in a homogeneous population of cells. Dissecting such cellular heterogeneity within a biological system is a prerequisite for understanding how a biological …
Program table: Topic Talk+Q&A Presenter Title Model reduction 9:00-9:10 Hyeong Jun Jang Accurate and precise estimation in enzyme inihibition 9:10-9:20 Seolah Shin Beyond Homogeneity: Assessing the Validity of the Michaelis–Menten …
Abstract: Through the past decades, electrophysiological experiments have revealed that extracellular electrical potential of brain show diverse rhythmic activity. Called ‘Local Field Potential(LFP)’, those rhythmic activities are thought to reflect …