Bilaketaren emaitzak - Leiserson, Mark D M

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

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

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

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

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

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

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

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Criticality in tumor evolution and clinical outcome nork 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 nork 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 nork 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 nork 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 nork 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 nork 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 nork 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 nork 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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