Risultati della ricerca - 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 di Tal Ashuach, Daniel A. Reidenbach, Adam Gayoso, Nir Yosef

    Pubblicazione 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 di Fumitaka Inoue, Anat Kreimer, Tal Ashuach, Nadav Ahituv, Nir Yosef

    Pubblicazione 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 di Tal Ashuach, Mariano I. Gabitto, Michael I. Jordan, Nir Yosef

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

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

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

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

    Pubblicazione 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 di Anat Kreimer, Tal Ashuach, Fumitaka Inoue, Alex Khodaverdian, Chengyu Deng, Nir Yosef, Nadav Ahituv

    Pubblicazione 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 di Tal Ashuach, Mariano I. Gabitto, Rohan V. Koodli, Giuseppe-Antonio Saldi, Michael I. Jordan, Nir Yosef

    Pubblicazione 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 di 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

    Pubblicazione 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 di 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

    Pubblicazione 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 di 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

    Pubblicazione 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 di 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

    Pubblicazione 2022
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