기초과학연구원 의생명수학그룹
In this talk, we discuss the paper : “Solving Inverse Problems in Medical Imaging with Score-Based Generative Models” by Y Song et al. Reconstructing medical images from partial measurements is …
In this talk, we discuss the paper "cellFlow: a generative flow-based model for single-cell count data" by A. Palma et.al, ICLR, 2024. Abstract Generative modeling for single-cell RNA-seq has proven …
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 …
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 …
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 …
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 …
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 …
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 …
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, …
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 …
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 …
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 …