Search Results - Melpomeni Kasapi

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  1. 1
    Integrated fecal microbiome–metabolome signatures reflect stress and serotonin metabolism in irritable bowel syndrome

    Integrated fecal microbiome–metabolome signatures reflect stress and serotonin metabolism in irritable bowel syndrome by Zlatan Mujagic, Melpomeni Kasapi, Daisy Jonkers, Isabel García‐Pérez, Lisa Vork, Zsa Zsa R. M. Weerts, José Iván Serrano-Contreras, Alexandra Zhernakova, Alexander Kurilshikov, Jamie Scotcher, Elaine Holmes, Cisca Wijmenga, Dániel Keszthelyi, Jeremy K. Nicholson, Joram M. Posma, Ad Masclee

    Published 2022
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  2. 2
    Research Directions in the Clinical Implementation of Pharmacogenomics: An Overview of US Programs and Projects

    Research Directions in the Clinical Implementation of Pharmacogenomics: An Overview of US Programs and Projects by Simona Volpi, Carol J. Bult, Rex L. Chisholm, Patricia A. Deverka, Geoffrey S. Ginsburg, Howard J. Jacob, Melpomeni Kasapi, Howard L. McLeod, Dan M. Roden, Marc S. Williams, Eric D. Green, Laura Lyman Rodriguez, Samuel Aronson, Larisa H. Cavallari, Joshua C. Denny, Lynn G. Dressler, Julie A. Johnson, Teri E. Klein, J. Steven Leeder, Micheline Piquette‐Miller, Minoli A. Perera, Laura J. Rasmussen‐Torvik, Heidi L. Rehm, Marylyn D. Ritchie, Todd C. Skaar, Nikhil Wagle, Richard M. Weinshilboum, Kristin Weitzel, Robert S. Wildin, John T. Wilson, Teri A. Manolio, Mary V. Relling

    Published 2018
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  3. 3
    Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines

    Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines by Kyle Ellrott, Matthew H. Bailey, Gordon Saksena, Kyle R. Covington, Cyriac Kandoth, Chip Stewart, Julian M. Hess, Singer Ma, Kami Chiotti, Michael D. McLellan, Heidi J. Sofia, Carolyn Hutter, Gad Getz, David A. Wheeler, Li Ding, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Zhining Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael I. Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michaël Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin E. Gross, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert P. Sheridan, S. Onur Sumer

    Published 2018
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  4. 4
    Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

    Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas by Franz X. Schaub, Varsha Dhankani, Ashton C. Berger, Mihir Trivedi, Anne B. Richardson, Reid Shaw, Wei Zhao, Xiaoyang Zhang, Andrea Ventura, Yuexin Liu, Donald E. Ayer, Peter J. Hurlin, Andrew D. Cherniack, Robert N. Eisenman, Brady Bernard, Carla Grandori, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Linghua Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael T. Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin Groß, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert E. Sheridan

    Published 2018
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  5. 5
    lncRNA Epigenetic Landscape Analysis Identifies EPIC1 as an Oncogenic lncRNA that Interacts with MYC and Promotes Cell-Cycle Progression in Cancer

    lncRNA Epigenetic Landscape Analysis Identifies EPIC1 as an Oncogenic lncRNA that Interacts with MYC and Promotes Cell-Cycle Progression in Cancer by Zehua Wang, Bo Yang, Min Zhang, Weiwei Guo, Zhiyuan Wu, Yue Wang, Lin Jia, Song Li, Wen Xie, Da Yang, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Linghua Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael B. Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael T. Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin E. Gross, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert E. Sheridan, S. Onur Sumer, Yichao Sun, Barry S. Taylor, Jioajiao Wang, Hongxin Zhang, Pavana Anur

    Published 2018
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  6. 6
    Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers

    Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers by Xinxin Peng, Zhongyuan Chen, Farshad Farshidfar, Xu Xiaoyan, Philip L. Lorenzi, Yumeng Wang, Feixiong Cheng, Lin Tan, Kamalika Mojumdar, Di Du, Zhongqi Ge, Jun Li, George Thomas, Kıvanç Birsoy, Lingxiang Liu, Huiwen Zhang, Zhongming Zhao, Calena R. Marchand, John N. Weinstein, Oliver F. Bathe, Han Liang, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Linghua Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Seungchan Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael P. Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin Groß, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips

    Published 2018
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  7. 7
    Genomic and Functional Approaches to Understanding Cancer Aneuploidy

    Genomic and Functional Approaches to Understanding Cancer Aneuploidy by Alison M. Taylor, Juliann Shih, Gavin Ha, Galen F. Gao, Xiaoyang Zhang, Ashton C. Berger, Steven E. Schumacher, Chen Wang, Hai Hu, Jianfang Liu, Alexander J. Lazar, Andrew D. Cherniack, Rameen Beroukhim, Matthew Meyerson, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Zhining Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Seungchan Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin Groß, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert P. Sheridan, S. Onur Sumer, Yichao Sun

    Published 2018
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  8. 8
    Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas

    Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas by Yang Liu, Nilay S. Sethi, Toshinori Hinoue, Barbara Schneider, Andrew D. Cherniack, Francisco Sánchez-Vega, José A. Seoane, Farshad Farshidfar, Reanne Bowlby, Mirazul Islam, Jaegil Kim, Walid K. Chatila, Rehan Akbani, Rupa S. Kanchi, Charles S. Rabkin, Joseph Willis, Kenneth K Wang, Shannon J. McCall, Lopa Mishra, Akinyemi I. Ojesina, Susan Bullman, Chandra Sekhar Pedamallu, Alexander J. Lazar, Ryo Sakai, Vésteinn Thórsson, Adam J. Bass, Peter W. Laird, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Zhining Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Seungchan Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael P. Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin Groß, Zachary Heins, Ritika Kundra

    Published 2018
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  9. 9
    Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

    Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation by Tathiane M. Malta, Artem Sokolov, Andrew J. Gentles, Tomasz Burzykowski, Laila Poisson, John N. Weinstein, Bożena Kamińska, Joerg Huelsken, Larsson Omberg, Olivier Gevaert, Antonio Colaprico, Patrycja Czerwińska, Sylwia Mazurek, Lopa Mishra, Holger Heyn, A. Krasnitz, Andrew K. Godwin, Alexander J. Lazar, Joshua M. Stuart, Katherine A. Hoadley, Peter W. Laird, Houtan Noushmehr, Maciej Wiznerowicz, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Zhining Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael B. Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael T. Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin Groß, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan

    Published 2018
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  10. 10
    Systematic Analysis of Splice-Site-Creating Mutations in Cancer

    Systematic Analysis of Splice-Site-Creating Mutations in Cancer by Reyka G. Jayasinghe, Song Cao, Qingsong Gao, Michael C. Wendl, Nam S. Vo, Sheila M. Reynolds, Yanyan Zhao, Héctor Climente-González, Shengjie Chai, Fang Wang, Rajees Varghese, Mo Huang, Wen-Wei Liang, Matthew A. Wyczalkowski, Sohini Sengupta, Zhi Li, Samuel Payne, David Fenyö, Jeffrey H. Miner, Matthew J. Walter, Benjamin G. Vincent, Eduardo Eyras, Ken Chen, Ilya Shmulevich, Feng Chen, Li Ding, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Linghua Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael I. Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michaël Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin Groß, Zachary Heins, Ritika Kundra, Konnor La

    Published 2018
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  11. 11
    Somatic Mutational Landscape of Splicing Factor Genes and Their Functional Consequences across 33 Cancer Types

    Somatic Mutational Landscape of Splicing Factor Genes and Their Functional Consequences across 33 Cancer Types by Michael Seiler, Shouyong Peng, Anant A. Agrawal, James Palacino, Teng Teng, Ping Zhu, Peter G. Smith, Silvia Buonamici, Lihua Yu, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Linghua Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michaël Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin Groß, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert P. Sheridan, S. Onur Sumer, Yichao Sun, Barry S. Taylor, Jioajiao Wang, Hongxin Zhang, Pavana Anur, Myron Peto

    Published 2018
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  12. 12
    Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

    Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context by Hua-Sheng Chiu, Sonal Somvanshi, Ektaben Patel, Ting-Wen Chen, Vivek Singh, Barry Zorman, Sagar L. Patil, Yinghong Pan, Sujash S. Chatterjee, Anil K. Sood, Preethi H. Gunaratne, Pavel Sumazin, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Zhining Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael I. Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michaël Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin E. Gross, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert P. Sheridan, S. Onur Sumer, Yichao Sun, Barry S. Taylor, Jioajiao Wang

    Published 2018
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  13. 13
    An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

    An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics by Jianfang Liu, Tara M. Lichtenberg, Katherine A. Hoadley, Laila Poisson, Alexander J. Lazar, Andrew D. Cherniack, Albert J. Kovatich, Christopher C. Benz, Douglas A. Levine, Adrian V. Lee, Larsson Omberg, Denise M. Wolf, Craig D. Shriver, Vésteinn Thórsson, Hai Hu, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Linghua Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael B. Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin E. Gross, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert E. Sheridan, S. Onur Sumer

    Published 2018
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  14. 14
    Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas

    Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas by Theo Knijnenburg, Linghua Wang, Michael T. Zimmermann, Nyasha Chambwe, Galen F. Gao, Andrew D. Cherniack, Huihui Fan, Hui Shen, Gregory P. Way, Casey S. Greene, Yuexin Liu, Rehan Akbani, Bin Feng, Lawrence A. Donehower, Chase Miller, Yang Shen, Mostafa Karimi, Hao Chen, Pora Kim, Peilin Jia, Eve Shinbrot, Shaojun Zhang, Jianfang Liu, Hai Hu, Matthew H. Bailey, Christina Yau, Denise M. Wolf, Zhongming Zhao, John N. Weinstein, Lei Li, Jun Li, Gordon B. Mills, Peter W. Laird, David A. Wheeler, Ilya Shmulevich, Raymond J. Monnat, Yonghong Xiao, Chen Wang, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Linghua Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael Ryan, Jing Wang

    Published 2018
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  15. 15
    Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas

    Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas by Gregory P. Way, Francisco Sánchez-Vega, Konnor La, Joshua Armenia, Walid K. Chatila, Augustin Luna, Chris Sander, Andrew D. Cherniack, Marco Mina, Giovanni Ciriello, Nikolaus Schultz, Yolanda Sánchez, Casey S. Greene, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Linghua Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael I. Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael T. Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin E. Gross, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert P. Sheridan, S. Onur Sumer, Yichao Sun, Barry S. Taylor

    Published 2018
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  16. 16
    Oncogenic Signaling Pathways in The Cancer Genome Atlas

    Oncogenic Signaling Pathways in The Cancer Genome Atlas by Francisco Sánchez-Vega, Marco Mina, Joshua Armenia, Walid K. Chatila, Augustin Luna, Konnor La, Sofia Dimitriadoy, David L. Liu, Havish S. Kantheti, Sadegh Saghafinia, Debyani Chakravarty, Foysal Daian, Qingsong Gao, Matthew H. Bailey, Wen-Wei Liang, Steven M. Foltz, Ilya Shmulevich, Li Ding, Zachary Heins, Angelica Ochoa, Benjamin Groß, Galen F. Gao, Hongxin Zhang, Ritika Kundra, Cyriac Kandoth, Istemi Bahceci, Leonard Dervishi, Uḡur Doḡrusöz, Wanding Zhou, Hui Shen, Peter W. Laird, Gregory P. Way, Casey S. Greene, Han Liang, Yonghong Xiao, Chen Wang, Antonio Iavarone, Alice H. Berger, Trever G. Bivona, Alexander J. Lazar, Gary D. Hammer, Thomas J. Giordano, Lawrence N. Kwong, Grant A. McArthur, Chenfei Huang, Aaron D. Tward, Mitchell J. Frederick, Frank McCormick, Matthew Meyerson, Eliezer M. Van Allen, Andrew D. Cherniack, Giovanni Ciriello, Chris Sander, Nikolaus Schultz, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Linghua Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Seungchan Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang

    Published 2018
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  17. 17
    Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer

    Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer by Katherine A. Hoadley, Christina Yau, Toshinori Hinoue, Denise M. Wolf, Alexander J. Lazar, Esther Drill, Ronglai Shen, Alison M. Taylor, Andrew D. Cherniack, Vésteinn Thórsson, Rehan Akbani, Reanne Bowlby, Christopher K. Wong, Maciej Wiznerowicz, Francisco Sánchez-Vega, Lewis R. Roberts, Barbara Schneider, Michael S. Lawrence, Houtan Noushmehr, Tathiane M. Malta, Joshua M. Stuart, Christopher C. Benz, Peter W. Laird, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Linghua Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Seungchan Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael P. Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin Groß, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan

    Published 2018
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  18. 18
    Driver Fusions and Their Implications in the Development and Treatment of Human Cancers

    Driver Fusions and Their Implications in the Development and Treatment of Human Cancers by Qingsong Gao, Wen-Wei Liang, Steven M. Foltz, Gnanavel Mutharasu, Reyka G. Jayasinghe, Song Cao, Wen‐Wei Liao, Sheila M. Reynolds, Matthew A. Wyczalkowski, Lijun Yao, Lihua Yu, Sam Q. Sun, Ken Chen, Alexander J. Lazar, Ryan C. Fields, Michael C. Wendl, Brian Andrew Van Tine, Ravi Vij, Feng Chen, Matti Nykter, Ilya Shmulevich, Li Ding, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Linghua Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Seungchan Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael P. Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin Groß, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa

    Published 2018
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  19. 19
    A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples

    A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples by Han Chen, Chunyan Li, Xinxin Peng, Zhicheng Zhou, John N. Weinstein, Han Liang, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Linghua Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael I. Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michaël Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin Groß, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert L. Sheridan, S. Onur Sumer, Yichao Sun, Barry S. Taylor, Jioajiao Wang, Hongxin Zhang, Pavana Anur, Myron Peto, Paul T. Spellman, Christopher C. Benz, Joshua M. Stuart

    Published 2018
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  20. 20
    Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

    Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images by Joel Saltz, Rajarsi Gupta, Le Hou, Tahsin Kurç, Pankaj K. Singh, Vu Nguyen, Dimitris Samaras, Kenneth R. Shroyer, Tianhao Zhao, Rebecca Batiste, John Van Arnam, Ilya Shmulevich, Arvind Rao, Alexander J. Lazar, Ashish Sharma, Vésteinn Thórsson, Rory Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Linghua Wang, Liming Yang, Jean C. Zenklusen, Jiashan Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Seungchan Kim, Michael S. Lawrence, Pei Lin, Thomas J. Giordano, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Patrick Kwok‐Shing Ng, Arvind Rao, Michael P. Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin Groß, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert E. Sheridan

    Published 2018
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