检索结果 - Leiserson, Mark D. M.

Modeling clinical and molecular covariates of mutational process activity in cancer 由 Robinson, Welles, Sharan, Roded, Leiserson, Mark D M

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

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A weighted exact test for mutually exclusive mutations in cancer 由 Leiserson, Mark D.M., Reyna, Matthew A., Raphael, Benjamin J.

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Hierarchical HotNet: identifying hierarchies of altered subnetworks 由 Reyna, Matthew A, Leiserson, Mark D M, Raphael, Benjamin J

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

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ScalpelSig Designs Targeted Genomic Panels from Data to Detect Activity of Mutational Signatures 由 Franzese, Nicholas, Fan, Jason, Sharan, Roded, Leiserson, Mark D.M.

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Simultaneous Identification of Multiple Driver Pathways in Cancer 由 Leiserson, Mark D. M., Blokh, Dima, Sharan, Roded, Raphael, Benjamin J.

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Precision Oncology: The Road Ahead 由 Senft, Daniela, Leiserson, Mark D M, Ruppin, Eytan, Ronai, Zéev A

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DNA REPAIR FOOTPRINT UNCOVERS CONTRIBUTION OF DNA REPAIR MECHANISM TO MUTATIONAL SIGNATURES 由 Wojtowicz, Damian, Leiserson, Mark D.M., Sharan, Roded, Przytycka, Teresa M.

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Inferring Mechanisms of Compensation from E-MAP and SGA Data Using Local Search Algorithms for Max Cut 由 Leiserson, Mark D.M., Tatar, Diana, Cowen, Lenore J., Hescott, Benjamin J.

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Erratum to: CoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancer 由 Leiserson, Mark D. M., Wu, Hsin-Ta, Vandin, Fabio, Raphael, Benjamin J.

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

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Criticality in tumor evolution and clinical outcome 由 Persi, Erez, Wolf, Yuri I., Leiserson, Mark D. M., Koonin, Eugene V., Ruppin, Eytan

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

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Functional protein representations from biological networks enable diverse cross-species inference 由 Fan, Jason, Cannistra, Anthony, Fried, Inbar, Lim, Tim, Schaffner, Thomas, Crovella, Mark, Hescott, Benjamin, Leiserson, Mark D M

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

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

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

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

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

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