Ngā hua rapu kaituhi

1

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

I whakaputaina 2019

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2

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

I whakaputaina 2021

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3

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

I whakaputaina 2016

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4

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

I whakaputaina 2018

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5

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

I whakaputaina 2021

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6

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

I whakaputaina 2022

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7

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

I whakaputaina 2013

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8

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

I whakaputaina 2017

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9

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

I whakaputaina 2020

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10

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

I whakaputaina 2011

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11

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

I whakaputaina 2016

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12

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

I whakaputaina 2022

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13

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

I whakaputaina 2018

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14

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

I whakaputaina 2020

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15

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

I whakaputaina 2019

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16

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

I whakaputaina 2019

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17

Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer mā 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.

I whakaputaina 2020

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18

A multifactorial model of T cell expansion and durable clinical benefit in response to a PD-L1 inhibitor mā 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

I whakaputaina 2018

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19

A systematic genome-wide mapping of oncogenic mutation selection during CRISPR-Cas9 genome editing mā 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

I whakaputaina 2021

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20

Author Correction: A systematic genome-wide mapping of oncogenic mutation selection during CRISPR-Cas9 genome editing mā 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

I whakaputaina 2022

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Ngā hua rapu - Leiserson, Mark D M

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer mā 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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