28 citations · 50 across the 11 of their papers we have counts for
7 papers · 1 filter
Decomposition with Monotone B-splines: Fitting and Testing
Lijun Wang, Xiaodan Fan, Hongyu Zhao +1
A univariate continuous function can always be decomposed as the sum of a non-increasing function and a non-decreasing one. Based on this property, we propose a non-parametric regr…
Learning Brain Connectivity in Social Cognition with Dynamic Network Regression
Maoyu Zhang, Biao Cai, Wenlin Dai +3
Dynamic networks have been increasingly used to characterize brain connectivity that varies during resting and task states. In such characterizations, a connectivity network is typ…
Joint Models for Time-to-Event Data and Longitudinal Biomarkers of High Dimension
Molei Liu, Jiehuan Sun, Jose D. Herazo-Maya +2
Joint models for longitudinal biomarkers and time-to-event data are widely used in longitudinal studies. Many joint modeling approaches have been proposed to deal with different ty…
A Bayesian Semiparametric Factor Analysis Model for Subtype Identification
Jiehuan Sun, Joshua L. Warren, Hongyu Zhao
Disease subtype identification (clustering) is an important problem in biomedical research. Gene expression profiles are commonly utilized to infer disease subtypes, which often le…
Distance-Correlation based Gene Set Analysis in Longitudinal Studies
Jiehuan Sun, Jose D. Herazo-Maya, Xiu Huang +2
Longitudinal gene expression profiles of patients are collected in some clinical studies to monitor disease progression and understand disease etiology. The identification of gene…
A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data
Jiehuan Sun, Jose D. Herazo-Maya, Naftali Kaminski +2
Subgroup identification (clustering) is an important problem in biomedical research. Gene expression profiles are commonly utilized to define subgroups. Longitudinal gene expressio…