| Predictive big data analytics using the UK Biobank data Y Zhou, L Zhao, N Zhou, Y Zhao, S Marino, T Wang, H Sun, AW Toga, ... Scientific reports 9 (1), 1-10, 2019 | 32 | 2019 |
| Quantify and control reproducibility in high-throughput experiments Y Zhao, MG Sampson, X Wen Nature Methods 17 (12), 1207-1213, 2020 | 14 | 2020 |
| HDDA: DataSifter: statistical obfuscation of electronic health records and other sensitive datasets S Marino, N Zhou, Y Zhao, L Wang, Q Wu, ID Dinov Journal of statistical computation and simulation 89 (2), 249-271, 2019 | 13 | 2019 |
| Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets S Marino, Y Zhao, N Zhou, Y Zhou, AW Toga, L Zhao, Y Jian, Y Yang, ... Plos one 15 (8), e0228520, 2020 | 12 | 2020 |
| Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies S Marino, J Xu, Y Zhao, N Zhou, Y Zhou, ID Dinov PloS one 13 (8), e0202674, 2018 | 11 | 2018 |
| Statistical Assessment of Replicability via Bayesian Model Criticism Y Zhao, X Wen arXiv preprint arXiv:2105.03993, 2021 | 2 | 2021 |
| DataSifter II: Partially synthetic data sharing of sensitive information containing time-varying correlated observations N Zhou, L Wang, S Marino, Y Zhao, ID Dinov Journal of Algorithms & Computational Technology 16, 17483026211065379, 2022 | 1 | 2022 |
| Predictive Analytics of Big Neuroscience Data ID Dinov, N Zhou, S Husain, A Kalinin, Y Zhao, S Marino | | |
Ivo DinovProfessor, HBBS & DCMB, University of Michigan在 stat.ucla.edu 的电子邮件经过验证
