Community influence analysis in social networks

INFORMATION-INCORPORATED CLUSTERING ANALYSIS OF DISEASE PREVALENCE TRENDS

Reduced Rank Spatio-Temporal Models

Hierarchical false discovery rate control for high-dimensional survival analysis with interactions

SPATIAL AUTOREGRESSIVE MODELS WITH GENERALIZED SPATIAL DISTURBANCES

Functional Linear Model with Prior Information of Subjects' Network

Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis

FunctanSNP: an R package for functional analysis of dense SNP data (with interactions)

Hierarchical False Discovery Rate Control for High-dimensional Survival Analysis with Interactions

Locally sparse quantile estimation for a partially functional interaction model

Regulation-incorporated Gene Expression Network-based Heterogeneity Analysis

Comment on "A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models" by Chengguang Dai, Buyu Lin, Xin Xing, and Jun S. Liu

HETEROGENEITY ANALYSIS VIA INTEGRATING MULTI-SOURCES HIGH-DIMENSIONAL DATA WITH APPLICATIONS TO CANCER STUDIES

Multivariate functional data clustering using adaptive density peak detection

Gene-environment interaction analysis via deep learning

Locally sparse quantile estimation for a partially functional interaction model

Gene-environment interaction analysis under the Cox model

Pathological imaging-assisted cancer gene-environment interaction analysis

Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis

Subgroup analysis for high-dimensional functional regression

Weighted multiple blockwise imputation method for high-dimensional regression with blockwise missing data

Replicability in cancer omics data analysis: measures and empirical explorations

Biclustering analysis of functionals via penalized fusion

iSFun: an R package for integrative dimension reduction analysis

Network-adaptive robust penalized estimation of time-varying coefficient models with longitudinal data

A tree-based gene-environment interaction analysis with rare features

Histopathological imaging-based cancer heterogeneity analysis via penalized fusion with model averaging

Gene-environment interaction identification via penalized robust divergence

Multivariate functional generalized additive models

HeteroGGM: an R package for Gaussian graphical model-based heterogeneity analysis

Estimation of partial derivative functionals with application to human mortality data analysis

Hierarchical cancer heterogeneity analysis based on histopathological imaging features

Comparative studies on the adequacy check of parametric measurement error models with auxiliary variable

Promote sign consistency in the joint estimation of precision matrices

Model identification and selection for single-index varying-coefficient models

Assisted estimation of gene expression graphical models

Integrative sparse partial least squares

Information-incorporated Gaussian graphical model for gene expression data

Gaussian graphical model-based heterogeneity analysis via penalized fusion

Conditional score matching for high-dimensional partial graphical models

Structured sparse support vector machine with ordered features

Feature screening of quadratic inference functions for ultrahigh dimensional longitudinal data

Tests for regression coefficients in high dimensional partially linear models

Structured analysis of the high-dimensional FMR model

Structured sparse logistic regression with application to lung cancer prediction using breath volatile biomarkers

Structured gene-environment interaction analysis

Identification of gene-environment interactions with marginal penalization

Robust model-free feature screening for ultrahigh dimensional surrogate data

Integrating approximate single factor graphical models

Smooth and locally sparse estimation for multiple-output functional linear regression

Robust high-dimensional regression for data with anomalous responses

Robust identification of gene-environment interactions for prognosis using a quantile partial correlation approach

Assisted graphical model for gene expression data analysis

INFERENCE FOR LOW-DIMENSIONAL COVARIATES IN A HIGH-DIMENSIONAL ACCELERATED FAILURE TIME MODEL

Robust network-based analysis of the associations between (epi)genetic measurements

Integrative sparse principal component analysis

Probabilistic natural mapping of gene-level tests for genome-wide association studies

Analysis of cancer gene expression data with an assisted robust marker identification approach

Integrative sparse principal component analysis of gene expression data

A weighted Wilcoxon estimate for the covariate-specific ROC curve

Inferring gene regulatory relationships with a high-dimensional robust approach

Focused information criterion and model averaging with generalized rank regression

Improved model checking methods for parametric models with responses missing at random

Joint detection for functional polynomial regression with autoregressive errors

A note on the two-sample mean problem based on jackknife empirical likelihood

Least absolute relative error estimation for functional quadratic multiplicative model

Efficient estimation for the heteroscedastic single-index varying coefficient models