Cell type identification in single-cell genomics and its applications

A benchmark of rare cell type detection methods for single-cell RNA sequencing data

Statistical Methods for Analyzing Microbiome Data

Disease Risk annotation of Genomic and Epigenomic Variants using Machine Learning Approaches

Improvements in statistical machine learning for current problems in public health

Transcriptome Sequencing of Peripheral Blood Reveals Distinct Expression Landscapes of COVID-19 and MIS-C Patients

EDClust: An EM-MM hybrid method for cell clustering in population-level single cell RNA sequencing

Statistical Methods for Brain Network Estimation

Statistical Modeling and Learning in Single Cell RNA Sequencing Data