Jianrong Wang

SPACE improves spatial domain detection by clustering spatially variable genes while adjusting for cell type effects without requiring prior knowledge of clusters or cell types.

BayesKAT is a Bayesian framework for genetic association studies that identifies joint genetic effects in complex diseases by adaptively selecting optimal kernels.

This study conducts a genome-wide association study (GWAS) to identify genetic factors associated with hypersensitivity pneumonitis, finding significant pathways but no individual SNPs or genes after multiple testing correction.

The paper introduces VirBin, a tool for clustering viral contigs into haplotypes, showing improved sensitivity and precision over existing methods.