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24 results on '"Dresdner, Gideon"'

1. Precipitation Downscaling with Spatiotemporal Video Diffusion

Author

Srivastava, Prakhar, Yang, Ruihan, Kerrigan, Gavin, Dresdner, Gideon, McGibbon, Jeremy, Bretherton, Christopher, and Mandt, Stephan

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Physics - Atmospheric and Oceanic Physics, Statistics - Machine Learning
Abstract

In climate science and meteorology, high-resolution local precipitation (rain and snowfall) predictions are limited by the computational costs of simulation-based methods. Statistical downscaling, or super-resolution, is a common workaround where a low-resolution prediction is improved using statistical approaches. Unlike traditional computer vision tasks, weather and climate applications require capturing the accurate conditional distribution of high-resolution given low-resolution patterns to assure reliable ensemble averages and unbiased estimates of extreme events, such as heavy rain. This work extends recent video diffusion models to precipitation super-resolution, employing a deterministic downscaler followed by a temporally-conditioned diffusion model to capture noise characteristics and high-frequency patterns. We test our approach on FV3GFS output, an established large-scale global atmosphere model, and compare it against six state-of-the-art baselines. Our analysis, capturing CRPS, MSE, precipitation distributions, and qualitative aspects using California and the Himalayas as examples, establishes our method as a new standard for data-driven precipitation downscaling.

Published
2023

2. ACE: A fast, skillful learned global atmospheric model for climate prediction

Author

Watt-Meyer, Oliver, Dresdner, Gideon, McGibbon, Jeremy, Clark, Spencer K., Henn, Brian, Duncan, James, Brenowitz, Noah D., Kashinath, Karthik, Pritchard, Michael S., Bonev, Boris, Peters, Matthew E., and Bretherton, Christopher S.

Subjects
Physics - Atmospheric and Oceanic Physics, Computer Science - Machine Learning
Abstract

Existing ML-based atmospheric models are not suitable for climate prediction, which requires long-term stability and physical consistency. We present ACE (AI2 Climate Emulator), a 200M-parameter, autoregressive machine learning emulator of an existing comprehensive 100-km resolution global atmospheric model. The formulation of ACE allows evaluation of physical laws such as the conservation of mass and moisture. The emulator is stable for 100 years, nearly conserves column moisture without explicit constraints and faithfully reproduces the reference model's climate, outperforming a challenging baseline on over 90% of tracked variables. ACE requires nearly 100x less wall clock time and is 100x more energy efficient than the reference model using typically available resources. Without fine-tuning, ACE can stably generalize to a previously unseen historical sea surface temperature dataset., Comment: Accepted at Tackling Climate Change with Machine Learning: workshop at NeurIPS 2023

Published
2023

3. Learning to correct spectral methods for simulating turbulent flows

Author

Dresdner, Gideon, Kochkov, Dmitrii, Norgaard, Peter, Zepeda-Núñez, Leonardo, Smith, Jamie A., Brenner, Michael P., and Hoyer, Stephan

Subjects
Computer Science - Machine Learning, Physics - Fluid Dynamics
Abstract

Despite their ubiquity throughout science and engineering, only a handful of partial differential equations (PDEs) have analytical, or closed-form solutions. This motivates a vast amount of classical work on numerical simulation of PDEs and more recently, a whirlwind of research into data-driven techniques leveraging machine learning (ML). A recent line of work indicates that a hybrid of classical numerical techniques and machine learning can offer significant improvements over either approach alone. In this work, we show that the choice of the numerical scheme is crucial when incorporating physics-based priors. We build upon Fourier-based spectral methods, which are known to be more efficient than other numerical schemes for simulating PDEs with smooth and periodic solutions. Specifically, we develop ML-augmented spectral solvers for three common PDEs of fluid dynamics. Our models are more accurate (2-4x) than standard spectral solvers at the same resolution but have longer overall runtimes (~2x), due to the additional runtime cost of the neural network component. We also demonstrate a handful of key design principles for combining machine learning and numerical methods for solving PDEs.

Published
2022

4. Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization

Author

Dresdner, Gideon, Vladarean, Maria-Luiza, Rätsch, Gunnar, Locatello, Francesco, Cevher, Volkan, and Yurtsever, Alp

Subjects
Computer Science - Machine Learning, Mathematics - Optimization and Control
Abstract

We propose a stochastic conditional gradient method (CGM) for minimizing convex finite-sum objectives formed as a sum of smooth and non-smooth terms. Existing CGM variants for this template either suffer from slow convergence rates, or require carefully increasing the batch size over the course of the algorithm's execution, which leads to computing full gradients. In contrast, the proposed method, equipped with a stochastic average gradient (SAG) estimator, requires only one sample per iteration. Nevertheless, it guarantees fast convergence rates on par with more sophisticated variance reduction techniques. In applications we put special emphasis on problems with a large number of separable constraints. Such problems are prevalent among semidefinite programming (SDP) formulations arising in machine learning and theoretical computer science. We provide numerical experiments on matrix completion, unsupervised clustering, and sparsest-cut SDPs., Comment: Artificial Intelligence and Statistics (AISTATS) 2022

Published
2022

5. Neighborhood Contrastive Learning Applied to Online Patient Monitoring

Author

Yèche, Hugo, Dresdner, Gideon, Locatello, Francesco, Hüser, Matthias, and Rätsch, Gunnar

Subjects
Computer Science - Machine Learning
Abstract

Intensive care units (ICU) are increasingly looking towards machine learning for methods to provide online monitoring of critically ill patients. In machine learning, online monitoring is often formulated as a supervised learning problem. Recently, contrastive learning approaches have demonstrated promising improvements over competitive supervised benchmarks. These methods rely on well-understood data augmentation techniques developed for image data which do not apply to online monitoring. In this work, we overcome this limitation by supplementing time-series data augmentation techniques with a novel contrastive learning objective which we call neighborhood contrastive learning (NCL). Our objective explicitly groups together contiguous time segments from each patient while maintaining state-specific information. Our experiments demonstrate a marked improvement over existing work applying contrastive methods to medical time-series., Comment: ICML 2021

Published
2021

6. Boosting Variational Inference With Locally Adaptive Step-Sizes

Author

Dresdner, Gideon, Shekhar, Saurav, Pedregosa, Fabian, Locatello, Francesco, and Rätsch, Gunnar

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Variational Inference makes a trade-off between the capacity of the variational family and the tractability of finding an approximate posterior distribution. Instead, Boosting Variational Inference allows practitioners to obtain increasingly good posterior approximations by spending more compute. The main obstacle to widespread adoption of Boosting Variational Inference is the amount of resources necessary to improve over a strong Variational Inference baseline. In our work, we trace this limitation back to the global curvature of the KL-divergence. We characterize how the global curvature impacts time and memory consumption, address the problem with the notion of local curvature, and provide a novel approximate backtracking algorithm for estimating local curvature. We give new theoretical convergence rates for our algorithms and provide experimental validation on synthetic and real-world datasets.

Published
2021

7. Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization

Author

Négiar, Geoffrey, Dresdner, Gideon, Tsai, Alicia, Ghaoui, Laurent El, Locatello, Francesco, Freund, Robert M., and Pedregosa, Fabian

Subjects
Mathematics - Optimization and Control, Computer Science - Machine Learning
Abstract

We propose a novel Stochastic Frank-Wolfe (a.k.a. conditional gradient) algorithm for constrained smooth finite-sum minimization with a generalized linear prediction/structure. This class of problems includes empirical risk minimization with sparse, low-rank, or other structured constraints. The proposed method is simple to implement, does not require step-size tuning, and has a constant per-iteration cost that is independent of the dataset size. Furthermore, as a byproduct of the method we obtain a stochastic estimator of the Frank-Wolfe gap that can be used as a stopping criterion. Depending on the setting, the proposed method matches or improves on the best computational guarantees for Stochastic Frank-Wolfe algorithms. Benchmarks on several datasets highlight different regimes in which the proposed method exhibits a faster empirical convergence than related methods. Finally, we provide an implementation of all considered methods in an open-source package., Comment: Proceedings of the 37th International Conference on Machine Learning, 2020

Published
2020

8. Scalable Gaussian Processes on Discrete Domains

Author

Fortuin, Vincent, Dresdner, Gideon, Strathmann, Heiko, and Rätsch, Gunnar

Subjects
Statistics - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Kernel methods on discrete domains have shown great promise for many challenging data types, for instance, biological sequence data and molecular structure data. Scalable kernel methods like Support Vector Machines may offer good predictive performances but do not intrinsically provide uncertainty estimates. In contrast, probabilistic kernel methods like Gaussian Processes offer uncertainty estimates in addition to good predictive performance but fall short in terms of scalability. While the scalability of Gaussian processes can be improved using sparse inducing point approximations, the selection of these inducing points remains challenging. We explore different techniques for selecting inducing points on discrete domains, including greedy selection, determinantal point processes, and simulated annealing. We find that simulated annealing, which can select inducing points that are not in the training set, can perform competitively with support vector machines and full Gaussian processes on synthetic data, as well as on challenging real-world DNA sequence data., Comment: Published at IEEE Access

Published
2018
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9. Boosting Black Box Variational Inference

Author

Locatello, Francesco, Dresdner, Gideon, Khanna, Rajiv, Valera, Isabel, and Rätsch, Gunnar

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning
Abstract

Approximating a probability density in a tractable manner is a central task in Bayesian statistics. Variational Inference (VI) is a popular technique that achieves tractability by choosing a relatively simple variational family. Borrowing ideas from the classic boosting framework, recent approaches attempt to \emph{boost} VI by replacing the selection of a single density with a greedily constructed mixture of densities. In order to guarantee convergence, previous works impose stringent assumptions that require significant effort for practitioners. Specifically, they require a custom implementation of the greedy step (called the LMO) for every probabilistic model with respect to an unnatural variational family of truncated distributions. Our work fixes these issues with novel theoretical and algorithmic insights. On the theoretical side, we show that boosting VI satisfies a relaxed smoothness assumption which is sufficient for the convergence of the functional Frank-Wolfe (FW) algorithm. Furthermore, we rephrase the LMO problem and propose to maximize the Residual ELBO (RELBO) which replaces the standard ELBO optimization in VI. These theoretical enhancements allow for black box implementation of the boosting subroutine. Finally, we present a stopping criterion drawn from the duality gap in the classic FW analyses and exhaustive experiments to illustrate the usefulness of our theoretical and algorithmic contributions.

Published
2018

10. Application of the AI2 Climate Emulator to E3SMv2's global atmosphere model, with a focus on precipitation fidelity

Author

Duncan, James PC, primary, Wu, Elynn, additional, Golaz, Jean-Christophe, additional, Caldwell, Peter Martin, additional, Watt-Meyer, Oliver, additional, Clark, Spencer Koncius, additional, McGibbon, Jeremy, additional, Dresdner, Gideon, additional, Kashinath, Karthik, additional, Bonev, Boris, additional, Pritchard, Michael S, additional, and Bretherton, Christopher S., additional

Published
2024
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11. Integrated Genomic Characterization of Papillary Thyroid Carcinoma

Author

Agrawal, Nishant, Akbani, Rehan, Aksoy, B. Arman, Ally, Adrian, Arachchi, Harindra, Asa, Sylvia L., Auman, J. Todd, Balasundaram, Miruna, Balu, Saianand, Baylin, Stephen B., Behera, Madhusmita, Bernard, Brady, Beroukhim, Rameen, Bishop, Justin A., Black, Aaron D., Bodenheimer, Tom, Boice, Lori, Bootwalla, Moiz S., Bowen, Jay, Bowlby, Reanne, Bristow, Christopher A., Brookens, Robin, Brooks, Denise, Bryant, Robert, Buda, Elizabeth, Butterfield, Yaron S.N., Carling, Tobias, Carlsen, Rebecca, Carter, Scott L., Carty, Sally E., Chan, Timothy A., Chen, Amy Y., Cherniack, Andrew D., Cheung, Dorothy, Chin, Lynda, Cho, Juok, Chu, Andy, Chuah, Eric, Cibulskis, Kristian, Ciriello, Giovanni, Clarke, Amanda, Clayman, Gary L., Cope, Leslie, Copland, John A., Covington, Kyle, Danilova, Ludmila, Davidsen, Tanja, Demchok, John A., DiCara, Daniel, Dhalla, Noreen, Dhir, Rajiv, Dookran, Sheliann S., Dresdner, Gideon, Eldridge, Jonathan, Eley, Greg, El-Naggar, Adel K., Eng, Stephanie, Fagin, James A., Fennell, Timothy, Ferris, Robert L., Fisher, Sheila, Frazer, Scott, Frick, Jessica, Gabriel, Stacey B., Ganly, Ian, Gao, Jianjiong, Garraway, Levi A., Gastier-Foster, Julie M., Getz, Gad, Gehlenborg, Nils, Ghossein, Ronald, Gibbs, Richard A., Giordano, Thomas J., Gomez-Hernandez, Karen, Grimsby, Jonna, Gross, Benjamin, Guin, Ranabir, Hadjipanayis, Angela, Harper, Hollie A., Hayes, D. Neil, Heiman, David I., Herman, James G., Hoadley, Katherine A., Hofree, Matan, Holt, Robert A., Hoyle, Alan P., Huang, Franklin W., Huang, Mei, Hutter, Carolyn M., Ideker, Trey, Iype, Lisa, Jacobsen, Anders, Jefferys, Stuart R., Jones, Corbin D., Jones, Steven J.M., Kasaian, Katayoon, Kebebew, Electron, Khuri, Fadlo R., Kim, Jaegil, Kramer, Roger, Kreisberg, Richard, Kucherlapati, Raju, Kwiatkowski, David J., Ladanyi, Marc, Lai, Phillip H., Laird, Peter W., Lander, Eric, Lawrence, Michael S., Lee, Darlene, Lee, Eunjung, Lee, Semin, Lee, William, Leraas, Kristen M., Lichtenberg, Tara M., Lichtenstein, Lee, Lin, Pei, Ling, Shiyun, Liu, Jinze, Liu, Wenbin, Liu, Yingchun, LiVolsi, Virginia A., Lu, Yiling, Ma, Yussanne, Mahadeshwar, Harshad S., Marra, Marco A., Mayo, Michael, McFadden, David G., Meng, Shaowu, Meyerson, Matthew, Mieczkowski, Piotr A., Miller, Michael, Mills, Gordon, Moore, Richard A., Mose, Lisle E., Mungall, Andrew J., Murray, Bradley A., Nikiforov, Yuri E., Noble, Michael S., Ojesina, Akinyemi I., Owonikoko, Taofeek K., Ozenberger, Bradley A., Pantazi, Angeliki, Parfenov, Michael, Park, Peter J., Parker, Joel S., Paull, Evan O., Pedamallu, Chandra Sekhar, Perou, Charles M., Prins, Jan F., Protopopov, Alexei, Ramalingam, Suresh S., Ramirez, Nilsa C., Ramirez, Ricardo, Raphael, Benjamin J., Rathmell, W. Kimryn, Ren, Xiaojia, Reynolds, Sheila M., Rheinbay, Esther, Ringel, Matthew D., Rivera, Michael, Roach, Jeffrey, Robertson, A. Gordon, Rosenberg, Mara W., Rosenthal, Matthew, Sadeghi, Sara, Saksena, Gordon, Sander, Chris, Santoso, Netty, Schein, Jacqueline E., Schultz, Nikolaus, Schumacher, Steven E., Seethala, Raja R., Seidman, Jonathan, Senbabaoglu, Yasin, Seth, Sahil, Sharpe, Samantha, Shaw, Kenna R. Mills, Shen, John P., Shen, Ronglai, Sherman, Steven, Sheth, Margi, Shi, Yan, Shmulevich, Ilya, Sica, Gabriel L., Simons, Janae V., Sinha, Rileen, Sipahimalani, Payal, Smallridge, Robert C., Sofia, Heidi J., Soloway, Matthew G., Song, Xingzhi, Sougnez, Carrie, Stewart, Chip, Stojanov, Petar, Stuart, Joshua M., Sumer, S. Onur, Sun, Yichao, Tabak, Barbara, Tam, Angela, Tan, Donghui, Tang, Jiabin, Tarnuzzer, Roy, Taylor, Barry S., Thiessen, Nina, Thorne, Leigh, Thorsson, Vésteinn, Tuttle, R. Michael, Umbricht, Christopher B., Van Den Berg, David J., Vandin, Fabio, Veluvolu, Umadevi, Verhaak, Roel G.W., Vinco, Michelle, Voet, Doug, Walter, Vonn, Wang, Zhining, Waring, Scot, Weinberger, Paul M., Weinhold, Nils, Weinstein, John N., Weisenberger, Daniel J., Wheeler, David, Wilkerson, Matthew D., Wilson, Jocelyn, Williams, Michelle, Winer, Daniel A., Wise, Lisa, Wu, Junyuan, Xi, Liu, Xu, Andrew W., Yang, Liming, Yang, Lixing, Zack, Travis I., Zeiger, Martha A., Zeng, Dong, Zenklusen, Jean Claude, Zhao, Ni, Zhang, Hailei, Zhang, Jianhua, Zhang, Jiashan (Julia), Zhang, Wei, Zmuda, Erik, and Zou, Lihua

Published
2014
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13. Comprehensive genomic characterization of head and neck squamous cell carcinomas

Author

Lawrence, Michael S., Sougnez, Carrie, Lichtenstein, Lee, Cibulskis, Kristian, Lander, Eric, Gabriel, Stacey B., Getz, Gad, Ally, Adrian, Balasundaram, Miruna, Birol, Inanc, Bowlby, Reanne, Brooks, Denise, Butterfield, Yaron S. N., Carlsen, Rebecca, Cheng, Dean, Chu, Andy, Dhalla, Noreen, Guin, Ranabir, Holt, Robert A., Jones, Steven J. M., Lee, Darlene, Li, Haiyan I., Marra, Marco A., Mayo, Michael, Moore, Richard A., Mungall, Andrew J., Robertson, Gordon A., Schein, Jacqueline E., Sipahimalani, Payal, Tam, Angela, Thiessen, Nina, Wong, Tina, Protopopov, Alexei, Santoso, Netty, Lee, Semin, Parfenov, Michael, Zhang, Jianhua, Mahadeshwar, Harshad S., Tang, Jiabin, Ren, Xiaojia, Seth, Sahil, Haseley, Psalm, Zeng, Dong, Yang, Lixing, Xu, Andrew W., Song, Xingzhi, Pantazi, Angeliki, Bristow, Christopher A., Hadjipanayis, Angela, Seidman, Jonathan, Chin, Lynda, Park, Peter J., Kucherlapati, Raju, Akbani, Rehan, Casasent, Tod, Liu, Wenbin, Lu, Yiling, Mills, Gordon, Motter, Thomas, Weinstein, John, Diao, Lixia, Wang, Jing, Fan, You Hong, Liu, Jinze, Wang, Kai, Auman, Todd J., Balu, Saianand, Bodenheimer, Thomas, Buda, Elizabeth, Hayes, Neil D., Hoadley, Katherine A., Hoyle, Alan P., Jefferys, Stuart R., Jones, Corbin D., Kimes, Patrick K., Liu, Yufeng, Meng, Shaowu, Mieczkowski, Piotr A., Mose, Lisle E., Parker, Joel S., Perou, Charles M., Prins, Jan F., Roach, Jeffrey, Shi, Yan, Simons, Janae V., Singh, Darshan, Soloway, Matthew G., Tan, Donghui, Veluvolu, Umadevi, Walter, Vonn, Waring, Scot, Wilkerson, Matthew D., Wu, Junyuan, Zhao, Ni, Cherniack, Andrew D., Hammerman, Peter S., Tward, Aaron D., Pedamallu, Chandra Sekhar, Saksena, Gordon, Jung, Joonil, Ojesina, Akinyemi I., Carter, Scott L., Zack, Travis I., Schumacher, Steven E., Beroukhim, Rameen, Freeman, Samuel S., Meyerson, Matthew, Cho, Juok, Noble, Michael S., DiCara, Daniel, Zhang, Hailei, Heiman, David I., Gehlenborg, Nils, Voet, Doug, Lin, Pei, Frazer, Scott, Stojanov, Petar, Liu, Yingchun, Zou, Lihua, Kim, Jaegil, Muzny, Donna, Doddapaneni, HarshaVardhan, Kovar, Christie, Reid, Jeff, Morton, Donna, Han, Yi, Hale, Walker, Chao, Hsu, Chang, Kyle, Drummond, Jennifer A., Gibbs, Richard A., Kakkar, Nipun, Wheeler, David, Xi, Liu, Ciriello, Giovanni, Ladanyi, Marc, Lee, William, Ramirez, Ricardo, Sander, Chris, Shen, Ronglai, Sinha, Rileen, Weinhold, Nils, Taylor, Barry S., Aksoy, Arman B., Dresdner, Gideon, Gao, Jianjiong, Gross, Benjamin, Jacobsen, Anders, Reva, Boris, Schultz, Nikolaus, Sumer, Onur S., Sun, Yichao, Chan, Timothy A., Morris, Luc G., Stuart, Joshua, Benz, Stephen, Ng, Sam, Benz, Christopher, Yau, Christina, Baylin, Stephen B., Cope, Leslie, Danilova, Ludmila, Herman, James G., Bootwalla, Moiz, Maglinte, Dennis T., Laird, Peter W., Triche, Timothy, Jr, Weisenberger, Daniel J., Van Den Berg, David J., Agrawal, Nishant, Bishop, Justin, Boutros, Paul C., Bruce, Jeff P., Byers, Lauren Averett, Califano, Joseph, Carey, Thomas E., Chen, Zhong, Cheng, Hui, Chiosea, Simion I., Cohen, Ezra, Diergaarde, Brenda, Egloff, Ann Marie, El-Naggar, Adel K., Ferris, Robert L., Frederick, Mitchell J., Grandis, Jennifer R., Guo, Yan, Haddad, Robert I., Harris, Thomas, Hui, Angela B. Y., Lee, Jack J., Lippman, Scott M., Liu, Fei-Fei, McHugh, Jonathan B., Myers, Jeff, Ng, Patrick Kwok Shing, Perez-Ordonez, Bayardo, Pickering, Curtis R., Prystowsky, Michael, Romkes, Marjorie, Saleh, Anthony D., Sartor, Maureen A., Seethala, Raja, Seiwert, Tanguy Y., Si, Han, Van Waes, Carter, Waggott, Daryl M., Wiznerowicz, Maciej, Yarbrough, Wendell G., Zhang, Jiexin, Zuo, Zhixiang, Burnett, Ken, Crain, Daniel, Gardner, Johanna, Lau, Kevin, Mallery, David, Morris, Scott, Paulauskis, Joseph, Penny, Robert, Shelton, Candace, Shelton, Troy, Sherman, Mark, Yena, Peggy, Black, Aaron D., Bowen, Jay, Frick, Jessica, Gastier-Foster, Julie M., Harper, Hollie A., Leraas, Kristen, Lichtenberg, Tara M., Ramirez, Nilsa C., Wise, Lisa, Zmuda, Erik, Baboud, Julien, Jensen, Mark A., Kahn, Ari B., Pihl, Todd D., Pot, David A., Srinivasan, Deepak, Walton, Jessica S., Wan, Yunhu, Burton, Robert A., Davidsen, Tanja, Demchok, John A., Eley, Greg, Ferguson, Martin L., Shaw, Kenna Mills R., Ozenberger, Bradley A., Sheth, Margi, Sofia, Heidi J., Tarnuzzer, Roy, Wang, Zhining, Yang, Liming, Zenklusen, Jean Claude, Saller, Charles, Tarvin, Katherine, Chen, Chu, Bollag, Roni, Weinberger, Paul, Golusiński, Wojciech, Golusiński, Paweł, Ibbs, Matthew, Korski, Konstanty, Mackiewicz, Andrzej, Suchorska, Wiktoria, Szybiak, Bartosz, Curley, Erin, Beard, Christina, Mitchell, Colleen, Sandusky, George, Ahn, Julie, Khan, Zubair, Irish, Jonathan, Waldron, John, William, William N., Jr, Egea, Sophie, Gomez-Fernandez, Carmen, Herbert, Lynn, Bradford, Carol R., Chepeha, Douglas B., Haddad, Andrea S., Jones, Tamara R., Komarck, Christine M., Malakh, Mayya, Moyer, Jeffrey S., Nguyen, Ariane, Peterson, Lisa A., Prince, Mark E., Rozek, Laura S., Taylor, Evan G., Walline, Heather M., Wolf, Gregory T., Boice, Lori, Chera, Bhishamjit S., Funkhouser, William K., Gulley, Margaret L., Hackman, Trevor G., Hayward, Michele C., Huang, Mei, Rathmell, Kimryn W., Salazar, Ashley H., Shockley, William W., Shores, Carol G., Thorne, Leigh, Weissler, Mark C., Wrenn, Sylvia, Zanation, Adam M., Brown, Brandee T., and Pham, Michelle

Published
2015
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15. Comprehensive molecular characterization of gastric adenocarcinoma

Author

Bass, Adam J., Thorsson, Vesteinn, Shmulevich, Ilya, Reynolds, Sheila M., Miller, Michael, Bernard, Brady, Hinoue, Toshinori, Laird, Peter W., Curtis, Christina, Shen, Hui, Weisenberger, Daniel J., Schultz, Nikolaus, Shen, Ronglai, Weinhold, Nils, Kelsen, David P., Bowlby, Reanne, Chu, Andy, Kasaian, Katayoon, Mungall, Andrew J., Robertson, Gordon A., Sipahimalani, Payal, Cherniack, Andrew, Getz, Gad, Liu, Yingchun, Noble, Michael S., Pedamallu, Chandra, Sougnez, Carrie, Akbani, Rehan, Lee, Ju-Seog, Liu, Wenbin, Mills, Gordon B., Yang, Da, Zhang, Wei, Pantazi, Angeliki, Gulley, Margaret, Piazuelo, Blanca M., Schneider, Barbara G., Kim, Jihun, Boussioutas, Alex, Sheth, Margi, Demchok, John A., Rabkin, Charles S., Willis, Joseph E., Ng, Sam, Garman, Katherine, Beer, David G., Pennathur, Arjun, Raphael, Benjamin J., Wu, Hsin-Ta, Odze, Robert, Kim, Hark K., Bowen, Jay, Leraas, Kristen M., Lichtenberg, Tara M., Weaver, Stephanie, McLellan, Michael, Wiznerowicz, Maciej, Sakai, Ryo, Lawrence, Michael S., Cibulskis, Kristian, Lichtenstein, Lee, Fisher, Sheila, Gabriel, Stacey B., Lander, Eric S., Ding, Li, Niu, Beifang, Ally, Adrian, Balasundaram, Miruna, Birol, Inanc, Brooks, Denise, Butterfield, Yaron S. N., Carlsen, Rebecca, Chu, Justin, Chuah, Eric, Chun, Hye-Jung E., Clarke, Amanda, Dhalla, Noreen, Guin, Ranabir, Holt, Robert A., Jones, Steven J. M., Lee, Darlene, Li, Haiyan A., Lim, Emilia, Ma, Yussanne, Marra, Marco A., Mayo, Michael, Moore, Richard A., Mungall, Karen L., Nip, Ka Ming, Schein, Jacqueline E., Tam, Angela, Thiessen, Nina, Beroukhim, Rameen, Carter, Scott L., Cherniack, Andrew D., Cho, Juok, DiCara, Daniel, Frazer, Scott, Gehlenborg, Nils, Heiman, David I., Jung, Joonil, Kim, Jaegil, Lin, Pei, Meyerson, Matthew, Ojesina, Akinyemi I., Pedamallu, Chandra Sekhar, Saksena, Gordon, Schumacher, Steven E., Stojanov, Petar, Tabak, Barbara, Voet, Doug, Rosenberg, Mara, Zack, Travis I., Zhang, Hailei, Zou, Lihua, Protopopov, Alexei, Santoso, Netty, Parfenov, Michael, Lee, Semin, Zhang, Jianhua, Mahadeshwar, Harshad S., Tang, Jiabin, Ren, Xiaojia, Seth, Sahil, Yang, Lixing, Xu, Andrew W., Song, Xingzhi, Xi, Ruibin, Bristow, Christopher A., Hadjipanayis, Angela, Seidman, Jonathan, Chin, Lynda, Park, Peter J., Kucherlapati, Raju, Ling, Shiyun, Rao, Arvind, Weinstein, John N., Kim, Sang-Bae, Lu, Yiling, Mills, Gordon, Bootwalla, Moiz S., Lai, Phillip H., Triche, Timothy, Jr, Van Den Berg, David J., Baylin, Stephen B., Herman, James G., Murray, Bradley A., Askoy, Arman B., Ciriello, Giovanni, Dresdner, Gideon, Gao, Jianjiong, Gross, Benjamin, Jacobsen, Anders, Lee, William, Ramirez, Ricardo, Sander, Chris, Senbabaoglu, Yasin, Sinha, Rileen, Sumer, Onur S., Sun, Yichao, Thorsson, Vésteinn, Iype, Lisa, Kramer, Roger W., Kreisberg, Richard, Rovira, Hector, Tasman, Natalie, Haussler, David, Stuart, Josh M., Verhaak, Roeland G. W., Leiserson, Mark D. M., Taylor, Barry S., Black, Aaron D., Carney, Julie Ann, Gastier-Foster, Julie M., Helsel, Carmen, McAllister, Cynthia, Ramirez, Nilsa C., Tabler, Teresa R., Wise, Lisa, Zmuda, Erik, Penny, Robert, Crain, Daniel, Gardner, Johanna, Lau, Kevin, Curely, Erin, Mallery, David, Morris, Scott, Paulauskis, Joseph, Shelton, Troy, Shelton, Candace, Sherman, Mark, Benz, Christopher, Lee, Jae-Hyuk, Fedosenko, Konstantin, Manikhas, Georgy, Potapova, Olga, Voronina, Olga, Belyaev, Dmitry, Dolzhansky, Oleg, Rathmell, Kimryn W., Brzezinski, Jakub, Ibbs, Matthew, Korski, Konstanty, Kycler, Witold, Łaźniak, Radoslaw, Leporowska, Ewa, Mackiewicz, Andrzej, Murawa, Dawid, Murawa, Pawel, Spychała, Arkadiusz, Suchorska, Wiktoria M., Tatka, Honorata, Teresiak, Marek, Abdel-Misih, Raafat, Bennett, Joseph, Brown, Jennifer, Iacocca, Mary, Rabeno, Brenda, Kwon, Sun-Young, Kemkes, Ariane, Curley, Erin, Alexopoulou, Iakovina, Engel, Jay, Bartlett, John, Albert, Monique, Park, Do-Youn, Dhir, Rajiv, Luketich, James, Landreneau, Rodney, Janjigian, Yelena Y., Cho, Eunjung, Ladanyi, Marc, Tang, Laura, McCall, Shannon J., Park, Young S., Cheong, Jae-Ho, Ajani, Jaffer, Camargo, Constanza M., Alonso, Shelley, Ayala, Brenda, Jensen, Mark A., Pihl, Todd, Raman, Rohini, Walton, Jessica, Wan, Yunhu, Eley, Greg, Mills Shaw, Kenna R., Tarnuzzer, Roy, Wang, Zhining, Yang, Liming, Zenklusen, Jean Claude, Davidsen, Tanja, Hutter, Carolyn M., Sofia, Heidi J., Burton, Robert, Chudamani, Sudha, and Liu, Jia

Published
2014
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16. Comprehensive molecular profiling of lung adenocarcinoma

Author

Collisson, Eric A., Campbell, Joshua D., Brooks, Angela N., Berger, Alice H., Lee, William, Chmielecki, Juliann, Beer, David G., Cope, Leslie, Creighton, Chad J., Danilova, Ludmila, Ding, Li, Getz, Gad, Hammerman, Peter S., Neil Hayes, D., Hernandez, Bryan, Herman, James G., Heymach, John V., Jurisica, Igor, Kucherlapati, Raju, Kwiatkowski, David, Ladanyi, Marc, Robertson, Gordon, Schultz, Nikolaus, Shen, Ronglai, Sinha, Rileen, Sougnez, Carrie, Tsao, Ming-Sound, Travis, William D., Weinstein, John N., Wigle, Dennis A., Wilkerson, Matthew D., Chu, Andy, Cherniack, Andrew D., Hadjipanayis, Angela, Rosenberg, Mara, Weisenberger, Daniel J., Laird, Peter W., Radenbaugh, Amie, Ma, Singer, Stuart, Joshua M., Averett Byers, Lauren, Baylin, Stephen B., Govindan, Ramaswamy, Meyerson, Matthew, Rosenberg, Mara, Gabriel, Stacey B., Cibulskis, Kristian, Sougnez, Carrie, Kim, Jaegil, Stewart, Chip, Lichtenstein, Lee, Lander, Eric S., Lawrence, Michael S., Getz, Gad, Kandoth, Cyriac, Fulton, Robert, Fulton, Lucinda L., McLellan, Michael D., Wilson, Richard K., Ye, Kai, Fronick, Catrina C., Maher, Christopher A., Miller, Christopher A., Wendl, Michael C., Cabanski, Christopher, Ding, Li, Mardis, Elaine, Govindan, Ramaswamy, Creighton, Chad J., Wheeler, David, Balasundaram, Miruna, Butterfield, Yaron S. N., Carlsen, Rebecca, Chu, Andy, Chuah, Eric, Dhalla, Noreen, Guin, Ranabir, Hirst, Carrie, Lee, Darlene, Li, Haiyan I., Mayo, Michael, Moore, Richard A., Mungall, Andrew J., Schein, Jacqueline E., Sipahimalani, Payal, Tam, Angela, Varhol, Richard, Gordon Robertson, A., Wye, Natasja, Thiessen, Nina, Holt, Robert A., Jones, Steven J. M., Marra, Marco A., Campbell, Joshua D., Brooks, Angela N., Chmielecki, Juliann, Imielinski, Marcin, Onofrio, Robert C., Hodis, Eran, Zack, Travis, Sougnez, Carrie, Helman, Elena, Sekhar Pedamallu, Chandra, Mesirov, Jill, Cherniack, Andrew D., Saksena, Gordon, Schumacher, Steven E., Carter, Scott L., Hernandez, Bryan, Garraway, Levi, Beroukhim, Rameen, Gabriel, Stacey B., Getz, Gad, Meyerson, Matthew, Hadjipanayis, Angela, Lee, Semin, Mahadeshwar, Harshad S., Pantazi, Angeliki, Protopopov, Alexei, Ren, Xiaojia, Seth, Sahil, Song, Xingzhi, Tang, Jiabin, Yang, Lixing, Zhang, Jianhua, Chen, Peng-Chieh, Parfenov, Michael, Wei Xu, Andrew, Santoso, Netty, Chin, Lynda, Park, Peter J., Kucherlapati, Raju, Hoadley, Katherine A., Todd Auman, J., Meng, Shaowu, Shi, Yan, Buda, Elizabeth, Waring, Scot, Veluvolu, Umadevi, Tan, Donghui, Mieczkowski, Piotr A., Jones, Corbin D., Simons, Janae V., Soloway, Matthew G., Bodenheimer, Tom, Jefferys, Stuart R., Roach, Jeffrey, Hoyle, Alan P., Wu, Junyuan, Balu, Saianand, Singh, Darshan, Prins, Jan F., Marron, J. S., Parker, Joel S., Neil Hayes, D., Perou, Charles M., Liu, Jinze, Cope, Leslie, Danilova, Ludmila, Weisenberger, Daniel J., Maglinte, Dennis T., Lai, Philip H., Bootwalla, Moiz S., Van Den Berg, David J., Triche Jr, Timothy, Baylin, Stephen B., Laird, Peter W., Rosenberg, Mara, Chin, Lynda, Zhang, Jianhua, Cho, Juok, DiCara, Daniel, Heiman, David, Lin, Pei, Mallard, William, Voet, Douglas, Zhang, Hailei, Zou, Lihua, Noble, Michael S., Lawrence, Michael S., Saksena, Gordon, Gehlenborg, Nils, Thorvaldsdottir, Helga, Mesirov, Jill, Nazaire, Marc-Danie, Robinson, Jim, Getz, Gad, Lee, William, Arman Aksoy, B., Ciriello, Giovanni, Taylor, Barry S., Dresdner, Gideon, Gao, Jianjiong, Gross, Benjamin, Seshan, Venkatraman E., Ladanyi, Marc, Reva, Boris, Sinha, Rileen, Onur Sumer, S., Weinhold, Nils, Schultz, Nikolaus, Shen, Ronglai, Sander, Chris, Ng, Sam, Ma, Singer, Zhu, Jingchun, Radenbaugh, Amie, Stuart, Joshua M., Benz, Christopher C., Yau, Christina, Haussler, David, Spellman, Paul T., Wilkerson, Matthew D., Parker, Joel S., Hoadley, Katherine A., Kimes, Patrick K., Neil Hayes, D., Perou, Charles M., Broom, Bradley M., Wang, Jing, Lu, Yiling, Kwok Shing Ng, Patrick, Diao, Lixia, Averett Byers, Lauren, Liu, Wenbin, Heymach, John V., Amos, Christopher I., Weinstein, John N., Akbani, Rehan, Mills, Gordon B., Curley, Erin, Paulauskis, Joseph, Lau, Kevin, Morris, Scott, Shelton, Troy, Mallery, David, Gardner, Johanna, Penny, Robert, Saller, Charles, Tarvin, Katherine, Richards, William G., Cerfolio, Robert, Bryant, Ayesha, Raymond, Daniel P., Pennell, Nathan A., Farver, Carol, Czerwinski, Christine, Huelsenbeck-Dill, Lori, Iacocca, Mary, Petrelli, Nicholas, Rabeno, Brenda, Brown, Jennifer, Bauer, Thomas, Dolzhanskiy, Oleg, Potapova, Olga, Rotin, Daniil, Voronina, Olga, Nemirovich-Danchenko, Elena, Fedosenko, Konstantin V., Gal, Anthony, Behera, Madhusmita, Ramalingam, Suresh S., Sica, Gabriel, Flieder, Douglas, Boyd, Jeff, Weaver, JoEllen, Kohl, Bernard, Huy Quoc Thinh, Dang, Sandusky, George, Juhl, Hartmut, Duhig, Edwina, Illei, Peter, Gabrielson, Edward, Shin, James, Lee, Beverly, Rogers, Kristen, Trusty, Dante, Brock, Malcolm V., Williamson, Christina, Burks, Eric, Rieger-Christ, Kimberly, Holway, Antonia, Sullivan, Travis, Wigle, Dennis A., Asiedu, Michael K., Kosari, Farhad, Travis, William D., Rekhtman, Natasha, Zakowski, Maureen, Rusch, Valerie W., Zippile, Paul, Suh, James, Pass, Harvey, Goparaju, Chandra, Owusu-Sarpong, Yvonne, Bartlett, John M. S., Kodeeswaran, Sugy, Parfitt, Jeremy, Sekhon, Harmanjatinder, Albert, Monique, Eckman, John, Myers, Jerome B., Cheney, Richard, Morrison, Carl, Gaudioso, Carmelo, Borgia, Jeffrey A., Bonomi, Philip, Pool, Mark, Liptay, Michael J., Moiseenko, Fedor, Zaytseva, Irina, Dienemann, Hendrik, Meister, Michael, Schnabel, Philipp A., Muley, Thomas R., Peifer, Martin, Gomez-Fernandez, Carmen, Herbert, Lynn, Egea, Sophie, Huang, Mei, Thorne, Leigh B., Boice, Lori, Hill Salazar, Ashley, Funkhouser, William K., Kimryn Rathmell, W., Dhir, Rajiv, Yousem, Samuel A., Dacic, Sanja, Schneider, Frank, Siegfried, Jill M., Hajek, Richard, Watson, Mark A., McDonald, Sandra, Meyers, Bryan, Clarke, Belinda, Yang, Ian A., Fong, Kwun M., Hunter, Lindy, Windsor, Morgan, Bowman, Rayleen V., Peters, Solange, Letovanec, Igor, Khan, Khurram Z., Jensen, Mark A., Snyder, Eric E., Srinivasan, Deepak, Kahn, Ari B., Baboud, Julien, Pot, David A., Mills Shaw, Kenna R., Sheth, Margi, Davidsen, Tanja, Demchok, John A., Yang, Liming, Wang, Zhining, Tarnuzzer, Roy, Claude Zenklusen, Jean, Ozenberger, Bradley A., Sofia, Heidi J., Travis, William D., Cheney, Richard, Clarke, Belinda, Dacic, Sanja, Duhig, Edwina, Funkhouser, William K., Illei, Peter, Farver, Carol, Rekhtman, Natasha, Sica, Gabriel, Suh, James, and Tsao, Ming-Sound

Published
2014
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17. Comprehensive molecular characterization of urothelial bladder carcinoma

Author

Weinstein, John N., Akbani, Rehan, Broom, Bradley M., Wang, Wenyi, Verhaak, Roeland G. W., McConkey, David, Lerner, Seth, Morgan, Margaret, Creighton, Chad J., Smith, Carolyn, Kwiatkowski, David J., Cherniack, Andrew D., Kim, Jaegil, Pedamallu, Chandra Sekhar, Noble, Michael S., Al-Ahmadie, Hikmat A., Reuter, Victor E., Rosenberg, Jonathan E., Bajorin, Dean F., Bochner, Bernard H., Solit, David B., Koppie, Theresa, Robinson, Brian, Gordenin, Dmitry A., Fargo, David, Klimczak, Leszek J., Roberts, Steven A., Au, Jessie, Laird, Peter W., Hinoue, Toshinori, Schultz, Nikolaus, Ramirez, Ricardo, Hansel, Donna, Hoadley, Katherine A., Kim, William Y., Damrauer, Jeffrey S., Baylin, Stephen B., Mungall, Andrew J., Robertson, Gordon A., Chu., Andy, Sougnez, Carrie, Cibulskis, Kristian, Lichtenstein, Lee, Sivachenko, Andrey, Stewart, Chip, Lawrence, Michael S., Getz, Gad, Lander, Eric, Gabriel., Stacey B., Donehower, Lawrence, Carter, Scott L., Saksena, Gordon, Schumacher, Steven E., Freeman, Samuel S., Jung, Joonil, Bhatt, Ami S., Pugh, Trevor, Beroukhim, Rameen, Gabriel, Stacey B., Meyerson, Matthew, Chu, Andy, Ally, Adrian, Balasundaram, Miruna, Butterfield, Yaron S. N., Dhalla, Noreen, Hirst, Carrie, Holt, Robert A., Jones, Steven J. M., Lee, Darlene, Li, Haiyan I., Marra, Marco A., Mayo, Michael, Moore, Richard A., Schein, Jacqueline E., Sipahimalani, Payal, Tam, Angela, Thiessen, Nina, Wong, Tina, Wye, Natasja, Bowlby, Reanne, Chuah, Eric, Guin, Ranabir, Shen, Hui, Bootwalla, Moiz S., Jr, Timothy Triche, Lai, Phillip H., Van Den Berg, David J., Weisenberger, Daniel J., Balu, Saianand, Bodenheimer, Tom, Damrauer Alan P. Hoyle, Jeffrey S., Jefferys, Stuart R., Meng, Shaowu, Mose, Lisle E., Simons, Janae V., Soloway, Mathew G., Wu, Junyuan, Parker, Joel S., Hayes, Neil D., Roach, Jeffrey, Buda, Elizabeth, Jones, Corbin D., Mieczkowski, Piotr A., Tan, Donghui, Veluvolu, Umadevi, Waring, Scot, Auman, Todd J., Perou, Charles M., Wilkerson, Matthew D., Santoso, Netty, Parfenov, Michael, Ren, Xiaojia, Pantazi, Angeliki, Hadjipanayis, Angela, Seidman, Jonathan, Kucherlapati, Raju, Lee, Semin, Yang, Lixing, Park, Peter J., Xu, Andrew Wei, Protopopov, Alexei, Zhang, Jianhua, Bristow, Christopher, Mahadeshwar, Harshad S., Seth, Sahil, Song, Xingzhi, Tang, Jiabin, Zeng, Dong, Chin, Lynda, Guo, Charles, Casasent, Tod D., Liu, Wenbin, Ju, Zhenlin, Motter, Thomas, Peng, Bo, Ryan, Michael, Su, Xiaoping, Yang, Ji-Yeon, Lorenzi, Philip L., Yao, Hui, Zhang, Nianxiang, Zhang, Jiexin, Mills, Gordon B., Cho, Juok, DiCara, Daniel, Frazer, Scott, Gehlenborg, Nils, Heiman, David I., Lin, Pei, Liu, Yingchun, Stojanov, Petar, Voet, Doug, Zhang, Hailei, Zou, Lihua, Bernard, Brady, Kreisberg, Dick, Reynolds, Sheila, Rovira, Hector, Shmulevich, Ilya, Gao, Jianjiong, Jacobsen, Anders, Aksoy, Arman B., Antipin, Yevgeniy, Ciriello, Giovanni, Dresdner, Gideon, Gross, Benjamin, Lee, William, Reva, Boris, Shen, Ronglai, Sinha, Rileen, Sumer, Onur S., Weinhold, Nils, Ladanyi, Marc, Sander, Chris, Benz, Christopher, Carlin, Daniel, Haussler, David, Ng, Sam, Paull, Evan O., Stuart, Joshua, Zhu, Jing, Liu, Yuexin, Zhang, Wei, Taylor, Barry S., Lichtenberg, Tara M., Zmuda, Erik, Barr, Thomas, Black, Aaron D., George, Myra, Hanf, Benjamin, Helsel, Carmen, McAllister, Cynthia, Ramirez, Nilsa C., Tabler, Teresa R., Weaver, Stephanie, Wise, Lisa, Bowen, Jay, Gastier-Foster, Julie M., Jian, Weiguo, Tello, Sebrina, Ittman, Michael, Castro, Patricia, McClenden, Whitney D., Gibbs, Richard, Saller, Charles, Tarvin, Katherine, DiPiero, Jennifer M., Owens, Jennifer, Bollag, Roni, Li, Qiang, Weinberger, Paul, Czerwinski, Christine, Huelsenbeck-Dill, Lori, Iacocca, Mary, Petrelli, Nicholas, Rabeno, Brenda, Swanson, Pat, Shelton, Troy, Curley, Erin, Gardner, Johanna, Mallery, David, Penny, Robert, Van Bang, Nguyen, Thi Hanh, Phan, Kohl, Bernard, Van Le, Xuan, Duc Phu, Bui, Thorp, Richard, Tien, Nguyen Viet, Vinh, Le Quang, Sandusky, George, Burks, Eric, Christ, Kimberly, Gee, Jason, Holway, Antonia, Moinzadeh, Alireza, Sorcini, Andrea, Sullivan, Travis, Garcia-Grossman, Ilana R., Regazzi, Ashley M., Boice, Lori, Rathmell, Wendy Kimryn, Thorne, Leigh, Bastacky, Sheldon, Davies, Benjamin, Dhir, Rajiv, Gingrich, Jeffrey, Hrebinko, Ronald, Maranchie, Jodi, Nelson, Joel, Parwani, Anil, Bshara, Wiam, Gaudioso, Carmelo, Morrison, Carl, Alexopoulou, Vina, Bartlett, John, Engel, Jay, Kodeeswaran, Sugy, Antic, Tatjana, O’Donnell, Peter H., Smith, Norm D., Steinberg, Gary D., Egea, Sophie, Gomez-Fernandez, Carmen, Herbert, Lynn, Jorda, Merce, Soloway, Mark, Beaver, Allison, Carter, Suzie, Kapur, Payal, Lewis, Cheryl, Lotan, Yair, Bondaruk, Jolanta, Czerniak, Bogdan, Skinner, Eila, Aldape, Kenneth, Jensen, Mark A., Kahn, Ari B., Pihl, Todd D., Pot, David A., Srinivasan, Deepak, Wan, Yunhu, Ferguson, Martin L., Zenklusen, Jean Claude, Davidsen, Tanja, Demchok, John A., Mills Shaw, Kenna R., Sheth, Margi, Tarnuzzer, Roy, Wang, Zhining, Yang, Liming, Hutter, Carolyn, Ozenberger, Bradley A., Sofia, Heidi J., and Eley, Greg

Published
2014
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20. Integrated genomic characterization of endometrial carcinoma

Author

Getz, Gad, Gabriel, Stacey B., Cibulskis, Kristian, Lander, Eric, Sivachenko, Andrey, Sougnez, Carrie, Lawrence, Mike, Kandoth, Cyriac, Dooling, David, Fulton, Robert, Fulton, Lucinda, Kalicki-Veizer, Joelle, McLellan, Michael D., OʼLaughlin, Michelle, Schmidt, Heather, Wilson, Richard K., Ye, Kai, Ding, Li, Mardis, Elaine R., Ally, Adrian, Balasundaram, Miruna, Birol, Inanc, Butterfield, Yaron S. N., Carlsen, Rebecca, Carter, Candace, Chu, Andy, Chuah, Eric, Chun, Hye-Jung E., Dhalla, Noreen, Guin, Ranabir, Hirst, Carrie, Holt, Robert A., Jones, Steven J. M., Lee, Darlene, Li, Haiyan I., Marra, Marco A., Mayo, Michael, Moore, Richard A., Mungall, Andrew J., Plettner, Patrick, Schein, Jacqueline E., Sipahimalani, Payal, Tam, Angela, Varhol, Richard J., Gordon Robertson, A., Cherniack, Andrew D., Pashtan, Itai, Saksena, Gordon, Onofrio, Robert C., Schumacher, Steven E., Tabak, Barbara, Carter, Scott L., Hernandez, Bryan, Gentry, Jeff, Salvesen, Helga B., Ardlie, Kristin, Winckler, Wendy, Beroukhim, Rameen, Meyerson, Matthew, Hadjipanayis, Angela, Lee, Semin, Mahadeshwar, Harshad S., Park, Peter, Protopopov, Alexei, Ren, Xiaojia, Seth, Sahil, Song, Xingzhi, Tang, Jiabin, Xi, Ruibin, Yang, Lixing, Zeng, Dong, Kucherlapati, Raju, Chin, Lynda, Zhang, Jianhua, Todd Auman, J., Balu, Saianand, Bodenheimer, Tom, Buda, Elizabeth, Neil Hayes, D., Hoyle, Alan P., Jefferys, Stuart R., Jones, Corbin D., Meng, Shaowu, Mieczkowski, Piotr A., Mose, Lisle E., Parker, Joel S., Perou, Charles M., Roach, Jeff, Shi, Yan, Simons, Janae V., Soloway, Mathew G., Tan, Donghui, Topal, Michael D., Waring, Scot, Wu, Junyuan, Hoadley, Katherine A., Baylin, Stephen B., Bootwalla, Moiz S., Lai, Phillip H., Triche, Timothy J., Jr, Van Den Berg, David J., Weisenberger, Daniel J., Laird, Peter W., Shen, Hui, Cho, Juok, DiCara, Daniel, Frazer, Scott, Heiman, David, Jing, Rui, Lin, Pei, Mallard, Will, Stojanov, Petar, Voet, Doug, Zhang, Hailei, Zou, Lihua, Noble, Michael, Reynolds, Sheila M., Shmulevich, Ilya, Arman Aksoy, B., Antipin, Yevgeniy, Ciriello, Giovanni, Dresdner, Gideon, Gao, Jianjiong, Gross, Benjamin, Jacobsen, Anders, Ladanyi, Marc, Reva, Boris, Sander, Chris, Sinha, Rileen, Onur Sumer, S., Taylor, Barry S., Cerami, Ethan, Weinhold, Nils, Schultz, Nikolaus, Shen, Ronglai, Benz, Stephen, Goldstein, Ted, Haussler, David, Ng, Sam, Szeto, Christopher, Stuart, Joshua, Benz, Christopher C., Yau, Christina, Zhang, Wei, Annala, Matti, Broom, Bradley M., Casasent, Tod D., Ju, Zhenlin, Liang, Han, Liu, Guoyan, Lu, Yiling, Unruh, Anna K., Wakefield, Chris, Weinstein, John N., Zhang, Nianxiang, Liu, Yuexin, Broaddus, Russell, Akbani, Rehan, Mills, Gordon B., Adams, Christopher, Barr, Thomas, Black, Aaron D., Bowen, Jay, Deardurff, John, Frick, Jessica, Gastier-Foster, Julie M., Grossman, Thomas, Harper, Hollie A., Hart-Kothari, Melissa, Helsel, Carmen, Hobensack, Aaron, Kuck, Harkness, Kneile, Kelley, Leraas, Kristen M., Lichtenberg, Tara M., McAllister, Cynthia, Pyatt, Robert E., Ramirez, Nilsa C., Tabler, Teresa R., Vanhoose, Nathan, White, Peter, Wise, Lisa, Zmuda, Erik, Barnabas, Nandita, Berry-Green, Charlenia, Blanc, Victoria, Boice, Lori, Button, Michael, Farkas, Adam, Green, Alex, MacKenzie, Jean, Nicholson, Dana, Kalloger, Steve E., Blake Gilks, C., Karlan, Beth Y., Lester, Jenny, Orsulic, Sandra, Borowsky, Mark, Cadungog, Mark, Czerwinski, Christine, Huelsenbeck-Dill, Lori, Iacocca, Mary, Petrelli, Nicholas, Rabeno, Brenda, Witkin, Gary, Nemirovich-Danchenko, Elena, Potapova, Olga, Rotin, Daniil, Berchuck, Andrew, Birrer, Michael, DiSaia, Phillip, Monovich, Laura, Curley, Erin, Gardner, Johanna, Mallery, David, Penny, Robert, Dowdy, Sean C., Winterhoff, Boris, Dao, Linda, Gostout, Bobbie, Meuter, Alexandra, Teoman, Attila, Dao, Fanny, Olvera, Narciso, Bogomolniy, Faina, Garg, Karuna, Soslow, Robert A., Levine, Douglas A., Abramov, Mikhail, Bartlett, John M. S., Kodeeswaran, Sugy, Parfitt, Jeremy, Moiseenko, Fedor, Clarke, Blaise A., Goodman, Marc T., Carney, Michael E., Matsuno, Rayna K., Fisher, Jennifer, Huang, Mei, Kimryn Rathmell, W., Thorne, Leigh, Van Le, Linda, Dhir, Rajiv, Edwards, Robert, Elishaev, Esther, Zorn, Kristin, Goodfellow, Paul J., Mutch, David, Kahn, Ari B., Bell, Daphne W., Pollock, Pamela M., Wang, Chen, A.Wheeler, David, Shinbrot, Eve, Ayala, Brenda, Chu, Anna L., Jensen, Mark A., Kothiyal, Prachi, Pihl, Todd D., Pontius, Joan, Pot, David A., Snyder, Eric E., Srinivasan, Deepak, Mills Shaw, Kenna R., Sheth, Margi, Davidsen, Tanja, Eley Martin L. Ferguson, Greg, Demchok, John A., Yang, Liming, Guyer, Mark S., Ozenberger, Bradley A., and Sofia, Heidi J.

Published
2013
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22. Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal

Author

Gao, Jianjiong, primary, Aksoy, Bülent Arman, additional, Dogrusoz, Ugur, additional, Dresdner, Gideon, additional, Gross, Benjamin, additional, Sumer, S. Onur, additional, Sun, Yichao, additional, Jacobsen, Anders, additional, Sinha, Rileen, additional, Larsson, Erik, additional, Cerami, Ethan, additional, Sander, Chris, additional, and Schultz, Nikolaus, additional

Published
2013
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