| Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal J Gao, BA Aksoy, U Dogrusoz, G Dresdner, B Gross, SO Sumer, Y Sun, ... Science signaling 6 (269), pl1-pl1, 2013 | 13502 | 2013 |
| Comprehensive molecular characterization of gastric adenocarcinoma Cancer Genome Atlas Research Network Nature 513 (7517), 202, 2014 | 5083 | 2014 |
| Integrated genomic characterization of endometrial carcinoma DA Levine, ... Nature 497 (7447), 67-73, 2013 | 4781 | 2013 |
| Comprehensive molecular characterization of urothelial bladder carcinoma Cancer Genome Atlas Research Network Nature 507 (7492), 315, 2014 | 2591 | 2014 |
| Integrated genomic characterization of papillary thyroid carcinoma N Agrawal, R Akbani, BA Aksoy, A Ally, H Arachchi, SL Asa, JT Auman, ... Cell 159 (3), 676-690, 2014 | 2482 | 2014 |
| Characterization of HPV and host genome interactions in primary head and neck cancers M Parfenov, CS Pedamallu, N Gehlenborg, SS Freeman, L Danilova, ... Proceedings of the National Academy of Sciences 111 (43), 15544-15549, 2014 | 412 | 2014 |
| Integrative analysis of complex cancer genomics and clinical pro les using the cBioPortal J Gao, BA Aksoy, U Dogrusoz, G Dresdner, B Gross, SO Sumer, Y Sun, ... Sci Signal 6 (269), 1113-20, 0 | 42 | |
| Neighborhood contrastive learning applied to online patient monitoring H Yèche, G Dresdner, F Locatello, M Hüser, G Rätsch International Conference on Machine Learning, 11964-11974, 2021 | 32 | 2021 |
| Boosting Black Box Variational Inference F Locatello, G Dresdner, R Khanna, I Valera, G Rätsch Advances in Neural Information Processing Systems, 3405-3415, 2018 | 29 | 2018 |
| Learning to correct spectral methods for simulating turbulent flows G Dresdner, D Kochkov, P Norgaard, L Zepeda-Núñez, JA Smith, ... arXiv preprint arXiv:2207.00556, 2022 | 28 | 2022 |
| Stochastic Frank-Wolfe for constrained finite-sum minimization G Négiar, G Dresdner, A Tsai, L El Ghaoui, F Locatello, R Freund, ... international conference on machine learning, 7253-7262, 2020 | 28 | 2020 |
| PiHelper: an open source framework for drug-target and antibody-target data BA Aksoy, J Gao, G Dresdner, W Wang, A Root, X Jing, E Cerami, ... Bioinformatics 29 (16), 2071-2072, 2013 | 20 | 2013 |
| Sparse Gaussian processes on discrete domains V Fortuin, G Dresdner, H Strathmann, G Rätsch IEEE Access 9, 76750-76758, 2021 | 17 | 2021 |
| The cbioportal for cancer genomics as a clinical decision support tool JJ Gao, BA Aksoy, B Gross, G Dresdner, Y Sun, SO Sumer, C Sander, ... Cancer Research 74 (19_Supplement), 4271-4271, 2014 | 6 | 2014 |
| ACE: A fast, skillful learned global atmospheric model for climate prediction O Watt-Meyer, G Dresdner, J McGibbon, SK Clark, B Henn, J Duncan, ... arXiv preprint arXiv:2310.02074, 2023 | 4 | 2023 |
| Boosting Variational Inference With Locally Adaptive Step-Sizes G Dresdner, S Shekhar, F Pedregosa, F Locatello, G Rätsch International Joint Conference on Artificial Intelligence (IJCAI-21), 2337-2343, 2021 | 3 | 2021 |
| Application of the AI2 Climate Emulator to E3SMv2's global atmosphere model, with a focus on precipitation fidelity JPC Duncan, E Wu, JC Golaz, PM Caldwell, O Watt-Meyer, SK Clark, ... Authorea Preprints, 2024 | | 2024 |
| Skillful deep learning emulation of a realistic global atmospheric model for fast inference O Watt-Meyer, S Clark, J McGibbon, G Dresdner, N Brenowitz, J Duncan, ... AGU23, 2023 | | 2023 |
| Probabilistic Precipitation Downscaling with Optical Flow-Guided Diffusion P Srivastava, R Yang, G Kerrigan, G Dresdner, J McGibbon, C Bretherton, ... arXiv preprint arXiv:2312.06071, 2023 | | 2023 |
| Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization G Dresdner, ML Vladarean, G Rätsch, F Locatello, V Cevher, A Yurtsever International Conference on Artificial Intelligence and Statistics, 8439-8457, 2022 | | 2022 |
Chris SanderHarvard Medical School, Broad Institute, Dana-Farber Cancer Institute, Memorial Sloan KetteringDirección de correo verificada de sanderlab.org
