ggpicrust2: an R package for PICRUSt2 predicted functional profile analysis and visualization C Yang, J Mai, X Cao, A Burberry, F Cominelli, L Zhang Bioinformatics 39 (8), btad470, 2023 | 115 | 2023 |
Posterior graph selection and estimation consistency for high-dimensional Bayesian DAG models X Cao, K Khare, M Ghosh | 73 | 2019 |
Disturbed small-world networks and neurocognitive function in frontal lobe low-grade glioma patients Q Huang, R Zhang, X Hu, S Ding, J Qian, T Lei, X Cao, L Tao, Z Qian, ... PLoS One 9 (4), e94095, 2014 | 64 | 2014 |
A radiomics approach to predicting Parkinson’s disease by incorporating whole-brain functional activity and gray matter structure X Cao, X Wang, C Xue, S Zhang, Q Huang, W Liu Frontiers in neuroscience 14, 751, 2020 | 58 | 2020 |
High-dimensional posterior consistency for hierarchical non-local priors in regression X Cao, K Khare, M Ghosh Bayesian Analysis, 2018 | 28 | 2018 |
Bayesian group selection in logistic regression with application to MRI data analysis K Lee, X Cao Biometrics 77 (2), 391-400, 2021 | 25 | 2021 |
Toward the impact of non-pharmaceutical interventions and vaccination on the COVID-19 pandemic with time-dependent SEIR model Y Li, L Ge, Y Zhou, X Cao, J Zheng Frontiers in Artificial Intelligence 4, 648579, 2021 | 23 | 2021 |
Altered patterns of amplitude of low-frequency fluctuations and fractional amplitude of low-frequency fluctuations between amnestic and vascular mild cognitive impairment: an … X Zhang, C Xue, X Cao, Q Yuan, W Qi, W Xu, S Zhang, Q Huang Frontiers in Aging Neuroscience 13, 711023, 2021 | 21 | 2021 |
The Radiological Imaging Features of Easily Misdiagnosed Epithelioid Glioblastoma in Seven Patients Q Huang, X Cao, X Chai, X Wang, C Xiao, J Wang. World Neurosurgery 124, e527-e532, 2019 | 21 | 2019 |
Classification of EEG signals: An interpretable approach using functional data analysis Y Yi, N Billor, M Liang, X Cao, A Ekstrom, J Zheng Journal of Neuroscience Methods 376, 109609, 2022 | 19 | 2022 |
Aberrant functional connectivity and activity in Parkinson’s disease and comorbidity with depression based on radiomic analysis X Zhang, X Cao, C Xue, J Zheng, S Zhang, Q Huang, W Liu Brain and behavior 11 (5), e02103, 2021 | 18 | 2021 |
Aberrant structure MRI in Parkinson’s disease and comorbidity with depression based on multinomial tensor regression analysis X Cao, F Yang, J Zheng, X Wang, Q Huang Journal of Personalized Medicine 12 (1), 89, 2022 | 16 | 2022 |
A case report of oral contraceptive misuse induced cerebral venous sinus thrombosis and dural arteriovenous fistula Q Huang, X Chai, C Xiao, X Cao Medicine 98 (33), e16440, 2019 | 14 | 2019 |
Three-dimensional pseudocontinuous arterial spin labeling and susceptibility-weighted imaging associated with clinical progression in amnestic mild cognitive impairment and … Q Huang, X Cao, X Chai, X Wang, L Xu, C Xiao Medicine 98 (23), e15972, 2019 | 11 | 2019 |
Bayesian variable selection in logistic regression with application to whole-brain functional connectivity analysis for Parkinson’s disease X Cao, K Lee, Q Huang Statistical Methods in Medical Research 30 (3), 826-842, 2021 | 10 | 2021 |
Development and validation of an RNA-seq-based transcriptomic risk score for asthma X Cao, L Ding, TB Mersha Scientific Reports 12 (1), 8643, 2022 | 7 | 2022 |
Variable selection using nonlocal priors in high-dimensional generalized linear models with application to fMRI data analysis X Cao, K Lee Entropy 22 (8), 807, 2020 | 7 | 2020 |
Bayesian inference for high-dimensional decomposable graphs K Lee, X Cao | 6 | 2021 |
Consistent Bayesian sparsity selection for high-dimensional Gaussian DAG models with multiplicative and beta-mixture priors X Cao, K Khare, M Ghosh Journal of Multivariate Analysis 179, 104628, 2020 | 6 | 2020 |
Bayesian inference on hierarchical nonlocal priors in generalized linear models X Cao, K Lee Bayesian Analysis 19 (1), 99-122, 2024 | 4 | 2024 |