受强制性开放获取政策约束的文章 - Caroline Uhler了解详情
可在其他位置公开访问的文章：72 篇
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
强制性开放获取政策： US National Institutes of Health
Regulation of genome organization and gene expression by nuclear mechanotransduction
C Uhler, GV Shivashankar
Nature reviews Molecular cell biology 18 (12), 717-727, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
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
强制性开放获取政策： US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health, Wellcome Trust
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), 31, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
Permutation-based causal inference algorithms with interventions
Y Wang, L Solus, KD Yang, C Uhler
Advances in Neural Information Processing Systems 30, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Overparameterized neural networks implement associative memory
A Radhakrishnan, M Belkin, C Uhler
Proceedings of the National Academy of Sciences 117 (44), 27162-27170, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
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
强制性开放获取政策： Austrian Science Fund
Nuclear mechanopathology and cancer diagnosis
C Uhler, GV Shivashankar
Trends in cancer 4 (4), 320-331, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
Consistency guarantees for greedy permutation-based causal inference algorithms
L Solus, Y Wang, C Uhler
Biometrika 108 (4), 795-814, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
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
强制性开放获取政策： US National Science Foundation, US Department of Defense
Permutation-based causal structure learning with unknown intervention targets
C Squires, Y Wang, C Uhler
Conference on Uncertainty in Artificial Intelligence, 1039-1048, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
Total positivity in Markov structures
S Fallat, S Lauritzen, K Sadeghi, C Uhler, N Wermuth, P Zwiernik
The Annals of Statistics, 1152-1184, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense, Austrian Science …
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery
R Agrawal, C Squires, K Yang, K Shanmugam, C Uhler
Proceedings of Machine Learning Research 89, 3400-3409, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
Maximum likelihood estimation in Gaussian models under total positivity
S Lauritzen, C Uhler, P Zwiernik
强制性开放获取政策： US National Science Foundation, US Department of Defense, Government of Spain
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
强制性开放获取政策： US National Science Foundation, Austrian Science Fund
Predicting cell lineages using autoencoders and optimal transport
KD Yang, K Damodaran, S Venkatachalapathy, AC Soylemezoglu, ...
PLoS computational biology 16 (4), e1007828, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
Machine learning for nuclear mechano-morphometric biomarkers in cancer diagnosis
A Radhakrishnan, K Damodaran, AC Soylemezoglu, C Uhler, ...
Scientific reports 7 (1), 17946, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Linear causal disentanglement via interventions
C Squires, A Seigal, SS Bhate, C Uhler
International Conference on Machine Learning, 32540-32560, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
Gaussian graphical models
C Uhler
Handbook of graphical models, 217-238, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
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