Risultati della ricerca - Leiserson, Mark D M

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

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

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

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

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

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

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

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Criticality in tumor evolution and clinical outcome di 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 di 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 di 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 di 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 di 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 di 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 di 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 di 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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