Suchergebnisse - Leiserson, Mark D M

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

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

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

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

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A mixture model for signature discovery from sparse mutation data von 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 von Franzese, Nicholas, Fan, Jason, Sharan, Roded, Leiserson, Mark D.M.

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

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Precision Oncology: The Road Ahead von 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 von 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 von 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 von 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 von Park, Tae Yoon, Leiserson, Mark D.M., Klau, Gunnar W., Raphael, Benjamin J.

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Criticality in tumor evolution and clinical outcome von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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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