Cell Fate Transitions II
ORAL · MAR-N72 · ID: 3111548
Presentations
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Incorporating Waddington and fitness landscapes into a model of coordinated tissue development
ORAL
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Presenters
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Casey Barkan
University of California, Los Angeles
Authors
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Casey Barkan
University of California, Los Angeles
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Tom Chou
University of California, Los Angeles
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Leverage multi-scale dependencies of single cells through a physics-informed deep diffusion model
ORAL
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Publication: scDiffusion: Leverage multi-scale dependencies of single cells through a physics-informed deep diffusion model, in preparation.
Presenters
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Yu-Chen Liu
Boston University
Authors
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Yu-Chen Liu
Boston University
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Lei Jiang
University of Missouri
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Simon L Lu
Boston University
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Dong Xu
University of Missouri
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Juexin Wang
Indiana University
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Chao Zhang
Boston University
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Evolving dynamical landscapes of cell fate transitions
ORAL
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Presenters
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Victoria Mochulska
McGill University
Authors
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Victoria Mochulska
McGill University
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Paul Francois
Université de Montréal, Mila Québec, Universite de Montreal
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AI-driven multiscale modeling for cell fate reconstruction using single-cell techniques
ORAL
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Presenters
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Yuchi Qiu
University of Illinois Chicago
Authors
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Yuchi Qiu
University of Illinois Chicago
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A quantitative framework for endothelial cell state transition in response to shear stress
ORAL
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Presenters
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Matheus Viana
Allen Institute for Cell Science
Authors
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Erin Angelini
Allen Institute for Cell Science
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Rebecca Zaunbrecher
Allen Institute for Cell Science
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Antoine Borensztejn
Allen Institute for Cell Science
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Jacqueline H Edmonds
Allen Institute for Cell Science
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Caroline Hookway
Allen Institute for Cell Science
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Benjamin Morris
Allen Institute for Cell Science
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Gouthamrajan Nadarajan
Allen Institute for Cell Science
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Serge Parent
Allen Institute for Cell Science
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Emmanuel E Sanchez
Allen Institute for Cell Science
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John Paul Thottam
Allen Institute for Cell Science
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Allen Institute for Cell Science
Allen Institute for Cell Science
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Gokhan Dalgin
Allen Institute for Cell Science
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Susanne M Rafelski
Allen Institute for Cell Science
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Julie A Theriot
Department of Biology and Howard Hughes Medical Institute, University of Washington
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Matheus Viana
Allen Institute for Cell Science
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Dynamics of emergent spatiotemporal patterning of synthetic Notch signal transduction in vivo.
ORAL
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Publication: https://www.biorxiv.org/content/10.1101/2023.07.12.548752v3.abstract
Presenters
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Jonathan E Dawson
Whitworth University
Authors
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Jonathan E Dawson
Whitworth University
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Abdul N Malmi-Kakkada
Augusta University
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Paul Langridge
Augusta University
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Dissecting spatiotemporal single-cell transcriptomics data combining dynamical models and generative AI
ORAL
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Publication: Zhou, P., Bocci, F., Li, T. et al. Spatial transition tensor of single cells. Nat Methods 21, 1053–1062 (2024).
Zhenyi Zhang, Tiejun Li, and Peijie Zhou. Learning Stochastic Dynamics from Snapshots through Regularized Unbalanced Optimal Transport. Arxiv Preprint 2024.
Qiangwei Peng, Peijie Zhou and Tiejun Li. stVCR: Reconstructing spatio-temporal dynamics of cell development using optimal transport. Biorxiv Preprint 2024.
Sha, Y., Qiu, Y., Zhou, P. and Nie, Q.. Reconstructing growth and dynamic trajectories from single-cell transcriptomics data. Nat Mach Intell 6, 25–39 (2024).Presenters
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Peijie Zhou
Peking University
Authors
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Peijie Zhou
Peking University
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Tiejun Li
Peking University
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Zhenyi Zhang
Peking University
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Qiangwei Peng
Peking University, Peking Univ
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A stochastic model depicting the coordination of gene expression and organelle biogenesis
ORAL
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Presenters
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Janna May Z Angeles
Washington University in St. Louis
Authors
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Janna May Z Angeles
Washington University in St. Louis
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Ronan Hanley
Washington University in St. Louis
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Jacqueline Donaldson
Washington University in St. Louis
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Shankar Mukherji
Washington University in St. Louis
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Constructing and optimizing dynamical models of core transcription factor regulatory networks driving cell state transitions
ORAL
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Presenters
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Mingyang Lu
Northeastern University
Authors
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Mingyang Lu
Northeastern University
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Spatiotemporal constraints on concentrations improve cellular concentration sensing beyond classical limits
ORAL
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Presenters
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ketevan danelia
Emory University
Authors
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ketevan danelia
Emory University
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Sean A Ridout
Emory University
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Ilya M Nemenman
Emory University
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Inferring rates in biochemical networks using temporal fluctuations
ORAL
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Presenters
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Bradley T Friesen
University of Toronto Mississauga
Authors
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Bradley T Friesen
University of Toronto Mississauga
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Andreas Hilfinger
University of Toronto
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Reconstructing noisy intracellular expression dynamics using neural stochastic differential equations, Part I: Mathematical methods
ORAL
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Publication: https://arxiv.org/pdf/2401.11354
Presenters
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Mingtao Xia
NYU
Authors
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Mingtao Xia
NYU
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Xiangting Li
University of California, Los Angeles
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Qijing Shen
University of Oxford
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Tom Chou
University of California, Los Angeles
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Reconstructing noisy intracellular expression dynamics using neural stochastic differential equations, Part II: Applications in cell biophysics
ORAL
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Presenters
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Xiaolu Guo
University of California, Los Angeles
Authors
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Xiaolu Guo
University of California, Los Angeles
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Jiancheng Zhang
Department of Electrical and Computer Engineering, University of California, Riverside
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Xiangting Li
UCLA
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Zhaoyi You
CMU
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Lucas Böttcher
Frankfurt School of Finance and Management
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Alex Mogilner
Courant Institute of Mathematical Sciences, New York University
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Alexander Hoffmann
UCLA, University of California, Los Angeles
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Tom Chou
University of California, Los Angeles
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Mingtao Xia
NYU
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Stress-induced Non-genetic memory loss in bacteria
ORAL
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Publication: Harsh Vashistha, Maryam Kohram, Hanna Salman "Non-genetic inheritance restraint of cell to-cell variation", eLife 10, e64779 (2021).
Presenters
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Joanna Jammal Touma
University of Pittsburgh
Authors
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Hanna Salman
University of Pittsburgh
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Joanna Jammal Touma
University of Pittsburgh
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