Hasil Pencarian - Mark D. M. Leiserson

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  1. 1
    A data-driven approach for constructing mutation categories for mutational signature analysis.

    A data-driven approach for constructing mutation categories for mutational signature analysis. oleh Gal Gilad, Mark D M Leiserson, Roded Sharan

    Diterbitkan 2021-10-01
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  2. 2
    A mutation-level covariate model for mutational signatures.

    A mutation-level covariate model for mutational signatures. oleh Itay Kahane, Mark D M Leiserson, Roded Sharan

    Diterbitkan 2023-06-01
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  3. 3
    A mixture model for signature discovery from sparse mutation data

    A mixture model for signature discovery from sparse mutation data oleh Itay Sason, Yuexi Chen, Mark D.M. Leiserson, Roded Sharan

    Diterbitkan 2021-11-01
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  4. 4
    Simultaneous identification of multiple driver pathways in cancer.

    Simultaneous identification of multiple driver pathways in cancer. oleh Mark D M Leiserson, Dima Blokh, Roded Sharan, Benjamin J Raphael

    Diterbitkan 2013-01-01
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  5. 5
    SuperDendrix algorithm integrates genetic dependencies and genomic alterations across pathways and cancer types

    SuperDendrix algorithm integrates genetic dependencies and genomic alterations across pathways and cancer types oleh Tae Yoon Park, Mark D.M. Leiserson, Gunnar W. Klau, Benjamin J. Raphael

    Diterbitkan 2022-02-01
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  6. 6
    A Sticky Multinomial Mixture Model of Strand-Coordinated Mutational Processes in Cancer

    A Sticky Multinomial Mixture Model of Strand-Coordinated Mutational Processes in Cancer oleh Itay Sason, Damian Wojtowicz, Welles Robinson, Mark D.M. Leiserson, Teresa M. Przytycka, Roded Sharan

    Diterbitkan 2020-03-01
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  7. 7
    Hidden Markov models lead to higher resolution maps of mutation signature activity in cancer

    Hidden Markov models lead to higher resolution maps of mutation signature activity in cancer oleh Damian Wojtowicz, Itay Sason, Xiaoqing Huang, Yoo-Ah Kim, Mark D. M. Leiserson, Teresa M. Przytycka, Roded Sharan

    Diterbitkan 2019-07-01
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  8. 8
    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer

    Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer oleh Yoo-Ah Kim, Damian Wojtowicz, Rebecca Sarto Basso, Itay Sason, Welles Robinson, Dorit S. Hochbaum, Mark D. M. Leiserson, Roded Sharan, Fabio Vadin, Teresa M. Przytycka

    Diterbitkan 2020-05-01
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  9. 9
    A multifactorial model of T cell expansion and durable clinical benefit in response to a PD-L1 inhibitor.

    A multifactorial model of T cell expansion and durable clinical benefit in response to a PD-L1 inhibitor. oleh Mark D M Leiserson, Vasilis Syrgkanis, Amy Gilson, Miroslav Dudik, Sharon Gillett, Jennifer Chayes, Christian Borgs, Dean F Bajorin, Jonathan E Rosenberg, Samuel Funt, Alexandra Snyder, Lester Mackey

    Diterbitkan 2018-01-01
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  10. 10
    A systematic genome-wide mapping of oncogenic mutation selection during CRISPR-Cas9 genome editing

    A systematic genome-wide mapping of oncogenic mutation selection during CRISPR-Cas9 genome editing oleh Sanju Sinha, Karina Barbosa, Kuoyuan Cheng, Mark D. M. Leiserson, Prashant Jain, Anagha Deshpande, David M. Wilson, Bríd M. Ryan, Ji Luo, Ze’ev A. Ronai, Joo Sang Lee, Aniruddha J. Deshpande, Eytan Ruppin

    Diterbitkan 2021-11-01
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  11. 11
    Author Correction: A systematic genome-wide mapping of oncogenic mutation selection during CRISPR-Cas9 genome editing

    Author Correction: A systematic genome-wide mapping of oncogenic mutation selection during CRISPR-Cas9 genome editing oleh Sanju Sinha, Karina Barbosa, Kuoyuan Cheng, Mark D. M. Leiserson, Prashant Jain, Anagha Deshpande, David M. Wilson, Bríd M. Ryan, Ji Luo, Ze’ev A. Ronai, Joo Sang Lee, Aniruddha J. Deshpande, Eytan Ruppin

    Diterbitkan 2022-05-01
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