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).<br>Zhenyi Zhang, Tiejun Li, and Peijie Zhou. Learning Stochastic Dynamics from Snapshots through Regularized Unbalanced Optimal Transport. Arxiv Preprint 2024.<br>Qiangwei Peng, Peijie Zhou and Tiejun Li. stVCR: Reconstructing spatio-temporal dynamics of cell development using optimal transport. Biorxiv Preprint 2024.<br>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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