Search Results - Tal Ashuach

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  1. 1
    PeakVI: A deep generative model for single-cell chromatin accessibility analysis

    PeakVI: A deep generative model for single-cell chromatin accessibility analysis by Tal Ashuach, Daniel A. Reidenbach, Adam Gayoso, Nir Yosef

    Published 2022
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  2. 2
    Identification and Massively Parallel Characterization of Regulatory Elements Driving Neural Induction

    Identification and Massively Parallel Characterization of Regulatory Elements Driving Neural Induction by Fumitaka Inoue, Anat Kreimer, Tal Ashuach, Nadav Ahituv, Nir Yosef

    Published 2019
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  3. 3
    MultiVI: deep generative model for the integration of multi-modal data

    MultiVI: deep generative model for the integration of multi-modal data by Tal Ashuach, Mariano I. Gabitto, Michael I. Jordan, Nir Yosef

    Published 2021
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  4. 4
    MPRAnalyze: statistical framework for massively parallel reporter assays

    MPRAnalyze: statistical framework for massively parallel reporter assays by Tal Ashuach, David S. Fischer, Anat Kreimer, Nadav Ahituv, Fabian J. Theis, Nir Yosef

    Published 2019
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  5. 5
    Functional interpretation of single cell similarity maps

    Functional interpretation of single cell similarity maps by David DeTomaso, Matthew G. Jones, Meena Subramaniam, Tal Ashuach, Chun Ye, Nir Yosef

    Published 2019
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  6. 6
    Massively parallel reporter perturbation assays uncover temporal regulatory architecture during neural differentiation

    Massively parallel reporter perturbation assays uncover temporal regulatory architecture during neural differentiation by Anat Kreimer, Tal Ashuach, Fumitaka Inoue, Alex Khodaverdian, Chengyu Deng, Nir Yosef, Nadav Ahituv

    Published 2022
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  7. 7
    MultiVI: deep generative model for the integration of multimodal data

    MultiVI: deep generative model for the integration of multimodal data by Tal Ashuach, Mariano I. Gabitto, Rohan V. Koodli, Giuseppe-Antonio Saldi, Michael I. Jordan, Nir Yosef

    Published 2023
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  8. 8
    lentiMPRA and MPRAflow for high-throughput functional characterization of gene regulatory elements

    lentiMPRA and MPRAflow for high-throughput functional characterization of gene regulatory elements by M. Grace Gordon, Fumitaka Inoue, Beth Martin, Max Schubach, Vikram Agarwal, Sean Whalen, Shiyun Feng, Jingjing Zhao, Tal Ashuach, Ryan Ziffra, Anat Kreimer, Ilias Georgakopoulos-Soares, Nir Yosef, Chun Ye, Katherine S. Pollard, Jay Shendure, Martin Kircher, Nadav Ahituv

    Published 2020
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  9. 9
    The single-cell epigenomic and transcriptional landscape of immunity to influenza vaccination

    The single-cell epigenomic and transcriptional landscape of immunity to influenza vaccination by Florian Wimmers, Michele Donato, Alex Kuo, Tal Ashuach, Shakti Gupta, Chunfeng Li, Mai Dvorak, Mariko H. Foecke, Sarah E. Chang, Thomas Hagan, De Jong, Holden T. Maecker, Robbert van der Most, Peggie Cheung, Mario Cortese, Steven E. Bosinger, Mark M. Davis, Nadine Rouphael, Shankar Subramaniam, Nir Yosef, Paul J. Utz, Purvesh Khatri, Bali Pulendran

    Published 2021
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  10. 10
    scvi-tools: a library for deep probabilistic analysis of single-cell omics data

    scvi-tools: a library for deep probabilistic analysis of single-cell omics data by Adam Gayoso, Romain Lopez, Galen Xing, Pierre Boyeau, K. Wu, Michael Jayasuriya, Edouard Melhman, Maxime Langevin, Yining Liu, Jules Samaran, Gabriel Misrachi, Achille Nazaret, Oscar Clivio, Chenling Xu, Tal Ashuach, Mohammad Lotfollahi, Valentine Svensson, Eduardo da Veiga Beltrame, Carlos Talavera‐López, Lior Pachter, Fabian J. Theis, Aaron Streets, Michael I. Jordan, Jeffrey Regier, Nir Yosef

    Published 2021
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  11. 11
    A Python library for probabilistic analysis of single-cell omics data

    A Python library for probabilistic analysis of single-cell omics data by Adam Gayoso, Romain Lopez, Galen Xing, Pierre Boyeau, Valeh Valiollah Pour Amiri, Justin Hong, Katherine Wu, Michael Jayasuriya, Edouard Mehlman, Maxime Langevin, Yining Liu, Jules Samaran, Gabriel Misrachi, Achille Nazaret, Oscar Clivio, Chenling Xu, Tal Ashuach, Mariano I. Gabitto, Mohammad Lotfollahi, Valentine Svensson, Eduardo da Veiga Beltrame, Vitalii Kleshchevnikov, Carlos Talavera‐López, Lior Pachter, Fabian J. Theis, Aaron Streets, Michael I. Jordan, Jeffrey Regier, Nir Yosef

    Published 2022
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