Rezultati - Leiserson, Mark D M

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

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

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

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

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

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

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

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Criticality in tumor evolution and clinical outcome od 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 od 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 od 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 od 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 od 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 od 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 od 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 od 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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