Integrative factorization of bidimensionally linked matrices JY Park, EF Lock Biometrics 76 (1), 61-74, 2020 | 24 | 2020 |
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis EF Lock, JY Park, KA Hoadley The annals of applied statistics 16 (1), 193, 2022 | 18 | 2022 |
Adaptive SNP-set association testing in generalized linear mixed models with application to family studies JY Park, C Wu, S Basu, M McGue, W Pan Behavior genetics 48, 55-66, 2018 | 16 | 2018 |
Single voxel autocorrelation uncovers gradients of temporal dynamics in the hippocampus and entorhinal cortex during rest and navigation NR Bouffard, A Golestani, IK Brunec, B Bellana, JY Park, MD Barense, ... Cerebral Cortex 33 (6), 3265-3283, 2023 | 13 | 2023 |
CLEAN: Leveraging spatial autocorrelation in neuroimaging data in clusterwise inference JY Park, M Fiecas NeuroImage 255, 119192, 2022 | 10 | 2022 |
Spatially-enhanced clusterwise inference for testing and localizing intermodal correspondence SM Weinstein, SN Vandekar, EB Baller, D Tu, A Adebimpe, TM Tapera, ... NeuroImage 264, 119712, 2022 | 7 | 2022 |
Permutation-based inference for spatially localized signals in longitudinal MRI data JY Park, M Fiecas, Alzheimer's Disease Neuroimaging Initiative NeuroImage 239, 118312, 2021 | 7 | 2021 |
A structured multivariate approach for removal of latent batch effects R Zhang, LD Oliver, AN Voineskos, JY Park bioRxiv, 2022 | 4 | 2022 |
Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data JY Park, J Polzehl, S Chatterjee, A Brechmann, M Fiecas Computational Statistics & Data Analysis 150, 107006, 2020 | 4 | 2020 |
RELIEF: a structured multivariate approach for removal of latent inter-scanner effects R Zhang, LD Oliver, AN Voineskos, JY Park Imaging Neuroscience 1, 1-16, 2023 | 3 | 2023 |
An adaptive gene-level association test for pedigree data JY Park, C Wu, W Pan BMC genetics 19, 39-43, 2018 | 3 | 2018 |
An adaptive gene-based test for methylation data C Wu, JY Park, W Guan, W Pan BMC proceedings 12, 85-89, 2018 | 3 | 2018 |
Spatial-extent inference for testing variance components in reliability and heritability studies R Pan, EW Dickie, C Hawco, N Reid, AN Voineskos, JY Park Imaging Neuroscience 2, 1-15, 2024 | 1 | 2024 |
Rank-adaptive covariance changepoint detection for estimating dynamic functional connectivity from fMRI data D Veitch, Y He, JY Park arXiv preprint arXiv:2309.10284, 2023 | | 2023 |
SAN: mitigating spatial covariance heterogeneity in cortical thickness data collected from multiple scanners or sites R Zhang, L Chen, LD Oliver, AN Voineskos, JY Park bioRxiv, 2023.12. 04.569619, 2023 | | 2023 |
Statistical Modeling and Inference for Neuroimaging and Genomics Data JY Park university of minnesota, 2020 | | 2020 |