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.

Nucleic Acids Research · Sep 23, 2025Peer-reviewedGenomics

BayesKAT: Bayesian Optimal Kernel-based Test for genetic association studies reveals joint genetic effects in complex diseases

Sikta Das Adhikari, Yuehua Cui, Jianrong Wang

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

Briefings in Bioinformatics · Mar 27, 2024Peer-reviewedGenetics

Using Genome-Wide Association Study to Identify Genes and Pathways associated with Hypersensitivity Pneumonitis

Ling Wang, Melissa May Millerick, Kenneth D. Rosenman, Yuehua Cui, Bruce D. Uhal, Jianrong Wang, John A. Gerlach

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.

bioRxiv · May 27, 2020 · PreprintGenomics

A binning tool to reconstruct viral haplotypes from assembled contigs

Jiao Chen, Jiayu Shang, Jianrong Wang, Yanni Sun

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

BMC Bioinformatics · Nov 4, 2019Peer-reviewedBioinformatics