기초과학연구원 의생명수학그룹
In this talk, we discuss the paper : “Diffusion Posterior Sampling for Linear Inverse Problem Solving- A Filtering Perspective” by Z. Dou& Y. Song Diffusion models have achieved tremendous success in generating high-dimensional data like images, videos and audio. These models provide powerful data priors that can solve linear inverse problems in zero shot through …
Abstract: In this talk, we propose novel noise-free Bayesian optimization strategies that rely on a random exploration step to enhance the accuracy of Gaussian process surrogate models. The new algorithms retain the ease of implementation of the classical GP-UCB algorithm, but the additional random exploration step accelerates their convergence, nearly achieving the optimal convergence rate. …
In this talk, we discuss the paper "Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model" by F. W. Townes et.al., Genome Biology, 2019. Abstract Single-cell RNA-Seq (scRNA-Seq) profiles gene expression of individual cells. Recent scRNA-Seq datasets have incorporated unique molecular identifiers (UMIs). Using negative controls, we show UMI counts follow …
In this talk, we discuss the paper "CARE as a wearable derived feature linking circadian amplitude to human cognitive functions" by Shuya Cui et.al., npj Digital Medicine, 2023. Abstract Circadian rhythms are crucial for regulating physiological and behavioral processes. Pineal hormone melatonin is often used to measure circadian amplitude but its collection is costly and …
Over the past decade, the phase behavior of biomolecules has garnered significant attention, particularly due to its biological implications, such as the reversible formation and dissociation of biomolecular condensates. These condensates perform diverse and essential functions within cells, including the acceleration of chemical reactions. Recent advances aim to uncover the fundamental principles of these systems …
The field of sleep science is rapidly advancing, with increasing attention focused on unraveling the mystery of sleep across various scientific domains. Sleep medicine, which emerged from scientific research on sleep, is a highly important field that can enhance the quality of life and health. Since sleep medicine requires the integration of various specialized knowledge, …
In this talk, we discuss the paper "Plausible, robust biological oscillations through allelic buffering" by F-S. Hsieh et.al, Cell Systems, 2024. at the Journal Club. Abstract Biological oscillators can specify time- and dose-dependent functions via dedicated control of their oscillatory dynamics. However, how biological oscillators, which recurrently activate noisy biochemical processes, achieve robust oscillations remains …
In this talk, we discuss the paper "Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality" by H. Yuan et.al, npj digital medicine, 2024, at the Journal Club. Abstract Sleep is essential to life. Accurate measurement and classification of sleep/wake and sleep stages is important in clinical studies for …
In this talk, we discuss the paper "A cell atlas foundation model for scalable search of similar human cells" by Graham Heimberg et.al., Nature, 2024 at the Journal Club. Abstract Single-cell RNA sequencing has profiled hundreds of millions of human cells across organs, diseases, development and perturbations to date. Mining these growing atlases could reveal …
In this talk, we discuss the paper "Method for cycle detection in sparse, irregularly sampled, long-term neuro-behavioral timeseries: Basis pursuit denoising with polynomial detrending of long-term, inter-ictal epileptiform activity" by Irena Balzekas et.al., Plos Com., 2024. Abstract Numerous physiological processes are cyclical, but sampling these processes densely enough to perform frequency decomposition and subsequent analyses …
In this talk, we discuss the paper "Constraining nonlinear time series modeling with the metabolic theory of ecology" by S.B. Munch et.al., PNAS, 2023. Abstract Forecasting the response of ecological systems to environmental change is a critical challenge for sustainable management. The metabolic theory of ecology (MTE) posits scaling of biological rates with temperature, but …
In this talk, we discuss the paper "Quantifying information accumulation encoded in the dynamics of biochemical signaling" by Y. Tang, et.al, Nature Communications, 2021. Abstract Cellular responses to environmental changes are encoded in the complex temporal patterns of signaling proteins. However, quantifying the accumulation of information over time to direct cellular decision-making remains an unsolved …