Phylogenomics of nonavian reptiles and the structure of the ancestral amniote genome AM Shedlock, CW Botka, S Zhao, J Shetty, T Zhang, JS Liu, ... Proceedings of the National Academy of Sciences 104 (8), 2767-2772, 2007 | 164 | 2007 |
Spatial Bayesian variable selection and grouping for high-dimensional scalar-on-image regression F Li, T Zhang, Q Wang, MZ Gonzalez, EL Maresh, JA Coan | 80 | 2015 |
A dynamic directional model for effective brain connectivity using electrocorticographic (ECoG) time series T Zhang, J Wu, F Li, B Caffo, D Boatman-Reich Journal of the American Statistical Association 110 (509), 93-106, 2015 | 46 | 2015 |
Correlation pursuit: forward stepwise variable selection for index models W Zhong, T Zhang, Y Zhu, JS Liu Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2012 | 46 | 2012 |
A semi-parametric model of the hemodynamic response for multi-subject fMRI data T Zhang, F Li, L Beckes, JA Coan NeuroImage 75, 136-145, 2013 | 38 | 2013 |
Reaver: a program for improved analysis of high‐resolution vascular network images BA Corliss, RW Doty, C Mathews, PA Yates, T Zhang, SM Peirce Microcirculation 27 (5), e12618, 2020 | 34 | 2020 |
Nonparametric inference of doubly stochastic Poisson process data via the kernel method T Zhang, SC Kou The annals of applied statistics 4 (4), 1913, 2010 | 32 | 2010 |
Bayesian inference of high-dimensional, cluster-structured ordinary differential equation models with applications to brain connectivity studies T Zhang, Q Yin, B Caffo, Y Sun, D Boatman-Reich | 26 | 2017 |
Deep learning versus conventional methods for missing data imputation: A review and comparative study XW Yige Sun, Jing Li, Yifan Xu, Tingting Zhang Expert Systems with Applications, 2023 | 18 | 2023 |
A semi-parametric nonlinear model for event-related fMRI T Zhang, F Li, MZ Gonzalez, EL Maresh, JA Coan NeuroImage 97, 178-187, 2014 | 18 | 2014 |
Nonparametric inference of the hemodynamic response using multi-subject fMRI data T Zhang, F Li, L Beckes, C Brown, JA Coan NeuroImage 63 (3), 1754-1765, 2012 | 18 | 2012 |
A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison T Zhang, M Pham, J Sun, G Yan, H Li, Y Sun, MZ Gonzalez, JA Coan NeuroImage 173, 580-591, 2018 | 13 | 2018 |
Efficient algorithm for sparse tensor-variate gaussian graphical models via gradient descent P Xu, T Zhang, Q Gu Artificial Intelligence and Statistics, 923-932, 2017 | 13 | 2017 |
Nonparametric hierarchical Bayes analysis of binomial data via Bernstein polynomial priors T Zhang, JS Liu Canadian Journal of Statistics 40 (2), 328-344, 2012 | 9 | 2012 |
A Bayesian State-Space Approach to Mapping Directional Brain Networks H Li, Y Wang, G Yan, Y Sun, S Tanabe, CC Liu, MS Quigg, T Zhang Journal of the American Statistical Association 116 (536), 1637-1647, 2021 | 8 | 2021 |
Bayesian inference of a directional brain network model for intracranial EEG data T Zhang, Y Sun, H Li, G Yan, S Tanabe, R Miao, Y Wang, BS Caffo, ... Computational Statistics & Data Analysis 144, 106847, 2020 | 8 | 2020 |
Mapping epileptic directional brain networks using intracranial EEG data H Li, Y Wang, S Tanabe, Y Sun, G Yan, MS Quigg, T Zhang Biostatistics 22 (3), 613-628, 2021 | 6 | 2021 |
Linear and Non-linear Models for fMRI Time Series Analysis T Zhang, H Shen, F Li Handbook of Neuroimaging Data Analysis, 309, 2016 | 6 | 2016 |
Bridging the rodent to human translational gap: Marmosets as model systems for the study of Alzheimer's disease SJ Sukoff Rizzo, G Homanics, DJ Schaeffer, L Schaeffer, JE Park, ... Alzheimer's & Dementia: Translational Research & Clinical Interventions 9 (3 …, 2023 | 4 | 2023 |
Intrinsic bias estimation for improved analysis of bulk and single-cell chromatin accessibility profiles using SELMA SS Hu, L Liu, Q Li, W Ma, MJ Guertin, CA Meyer, K Deng, T Zhang, ... Nature Communications 13 (1), 5533, 2022 | 4* | 2022 |