| A complete Neandertal mitochondrial genome sequence determined by high-throughput sequencing RE Green, AS Malaspinas, J Krause, AW Briggs, PLF Johnson, C Uhler, ... Cell 134 (3), 416-426, 2008 | 674 | 2008 |
| Regulation of genome organization and gene expression by nuclear mechanotransduction C Uhler, GV Shivashankar Nature reviews Molecular cell biology 18 (12), 717-727, 2017 | 248 | 2017 |
| Geometry of the faithfulness assumption in causal inference C Uhler, G Raskutti, P Bühlmann, B Yu The Annals of Statistics, 436-463, 2013 | 178 | 2013 |
| Scalable privacy-preserving data sharing methodology for genome-wide association studies F Yu, SE Fienberg, AB Slavković, C Uhler Journal of biomedical informatics 50, 133-141, 2014 | 153 | 2014 |
| Privacy-preserving data sharing for genome-wide association studies C Uhler, A Slavković, SE Fienberg The Journal of privacy and confidentiality 5 (1), 137, 2013 | 152 | 2013 |
| Privacy preserving GWAS data sharing SE Fienberg, A Slavkovic, C Uhler 2011 IEEE 11th International Conference on Data Mining Workshops, 628-635, 2011 | 108 | 2011 |
| Orientation and repositioning of chromosomes correlate with cell geometry–dependent gene expression Y Wang, M Nagarajan, C Uhler, GV Shivashankar Molecular biology of the cell 28 (14), 1997-2009, 2017 | 95 | 2017 |
| Geometry of maximum likelihood estimation in Gaussian graphical models C Uhler University of California, Berkeley, 2011 | 80 | 2011 |
| Multivariate Gaussians, semidefinite matrix completion, and convex algebraic geometry B Sturmfels, C Uhler Annals of the Institute of Statistical Mathematics 62 (4), 603-638, 2010 | 80 | 2010 |
| Nuclear mechanopathology and cancer diagnosis C Uhler, GV Shivashankar Trends in cancer 4 (4), 320-331, 2018 | 75 | 2018 |
| Learning directed acyclic graph models based on sparsest permutations G Raskutti, C Uhler Stat 7 (1), e183, 2018 | 69 | 2018 |
| Permutation-based causal inference algorithms with interventions Y Wang, L Solus, KD Yang, C Uhler Advances in Neural Information Processing Systems 30, 2017 | 69 | 2017 |
| Total positivity in Markov structures S Fallat, S Lauritzen, K Sadeghi, C Uhler, N Wermuth, P Zwiernik The Annals of Statistics, 1152-1184, 2017 | 60 | 2017 |
| Consistency guarantees for greedy permutation-based causal inference algorithms L Solus, Y Wang, C Uhler arXiv preprint arXiv:1702.03530, 2017 | 60* | 2017 |
| Maximum likelihood estimation in Gaussian models under total positivity S Lauritzen, C Uhler, P Zwiernik The Annals of Statistics 47 (4), 1835-1863, 2019 | 51 | 2019 |
| Maximum likelihood estimation for linear Gaussian covariance models P Zwiernik, C Uhler, D Richards Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017 | 50 | 2017 |
| Overparameterized neural networks implement associative memory A Radhakrishnan, M Belkin, C Uhler Proceedings of the National Academy of Sciences 117 (44), 27162-27170, 2020 | 49* | 2020 |
| Characterizing and learning equivalence classes of causal dags under interventions KD Yang, A Katcoff, C Uhler Proceedings of Machine Learning Research 80, 5537-5546, 2018 | 49 | 2018 |
| Differentially-private logistic regression for detecting multiple-SNP association in GWAS databases F Yu, M Rybar, C Uhler, SE Fienberg International Conference on Privacy in Statistical Databases, 170-184, 2014 | 48 | 2014 |
| Multi-domain translation between single-cell imaging and sequencing data using autoencoders KD Yang, A Belyaeva, S Venkatachalapathy, K Damodaran, A Katcoff, ... Nature communications 12 (1), 1-10, 2021 | 46 | 2021 |
