28 citations · 51 across the 13 of their papers we have counts for
4 papers · 1 filter
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…