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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