Kevin Y. X. Wang

The paper introduces a method to handle omics data variation across platforms and times, showing its use in three disease risk models for clinical application.

Cepo identifies cell identity by analyzing differentially stable genes from scRNA-seq data, improving cell-type characterization and spatial mapping.

scMerge integrates multiple scRNA-Seq datasets by removing unwanted variation through stably expressed genes and pseudo-replicates, enhancing biological discovery.

bcGST corrects bias in gene set tests for boutique arrays by adjusting Fisher's Exact Test to account for incomplete genome coverage.