Efficient quantification of pattern similarity between spatial genomics and cell morphology

Statistical Methods for Analyzing Microbiome Data

Characterizing the Developmental Trajectories for Cerebellar Volumes via Penalized Splines and Derivative Analysis

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

Statistical Modeling and Learning in Single Cell RNA Sequencing Data

Genome-wide studies of transcriptional dynamics in fear learning

Stability of Inference Derived from Machine Learning-based Doubly Robust Estimators of Treatment Effects

Estimating and Comparing immune cell infiltration in cancer

Network-Based Machine Learning Methods for Omics Data