Adaptive False Discovery Rate Control with Privacy Guarantee

Slow Kill for Big Data Learning

New Regression Model: Modal Regression

Tensor Learning in 2020s: Methodology, Theory, and Biomedical Applications

Large-Scale Analytical Platforms for Detecting Splicing-Associated Variants

Feature Selection and Classification over the network with Missing Node Observations with Application in Cancer

Bayesian inference of Tumor Clonal Phylogeny from Single-cell DNA sequencing data

Data integration in Spatial Transcriptomics

A network approach to compute hypervolume under ROC manifold for multi-class biomarkers

Poisson Hurdle Model-based Clustering for Microbiome Data

Integrative analysis of 16S marker-gene and shotgun metagenomic sequencing data improves efficiency of testing microbiome hypotheses

Identification of Prognostic and Predictive Subgroups for Clustered Survival Data