기초과학연구원 의생명수학그룹
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In this talk, we study and discuss the paper "Laplacian renormalization group for heterogeneous networks" by Pablo Villegas et.al, Nature Physics, 2023. Abstract The renormalization group is the cornerstone of the modern theory of universality and phase transitions and it is a powerful tool to scrutinize symmetries and organizational scales in dynamical systems. However, its … |
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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 transformative in crucial fields such as learning single-cell representations and perturbation responses. However, despite their appeal in relevant applications involving data augmentation and unseen cell … |
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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 … |
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