3 citations · 7 across the 9 of their papers we have counts for
10 papers · 1 filter
Local spectral clustering for heterogeneous clustering structures
Yuanxing Chen, Qingzhao Zhang, Yuhong Yang
Classical clustering methods typically assume that all informative features support a single latent partition of the observations. This assumption can be overly restrictive for mod…
Adaptive Multi-Prior Lasso for High-Dimensional Generalized Linear Models
Fuzhi Xu, Weijuan Liang, Shuangge Ma +1
Incorporation of external information into high-dimensional modeling for gene expression data has been shown, both theoretically and empirically, to substantially enhance performan…
Hierarchical False Discovery Rate Control for High-dimensional Survival Analysis with Interactions
Weijuan Liang, Qingzhao Zhang, Shuangge Ma
With the development of data collection techniques, analysis with a survival response and high-dimensional covariates has become routine. Here we consider an interaction model, whi…
Regulation-incorporated Gene Expression Network-based Heterogeneity Analysis
Rong Li, Qingzhao Zhang, Shuangge Ma
Gene expression-based heterogeneity analysis has been extensively conducted. In recent studies, it has been shown that network-based analysis, which takes a system perspective and…
Locally sparse quantile estimation for a partially functional interaction model
Weijuan Liang, Qingzhao Zhang, Shuangge Ma
Functional data analysis has been extensively conducted. In this study, we consider a partially functional model, under which some covariates are scalars and have linear effects, w…
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis
Yuanxing Chen, Qingzhao Zhang, Shuangge Ma +1
In diverse fields ranging from finance to omics, it is increasingly common that data is distributed and with multiple individual sources (referred to as ``clients'' in some studies…