Stephen Bates

The paper introduces CSDE, a method that improves differential expression analysis in spatial transcriptomics by incorporating expert feedback to mitigate preprocessing biases.

This paper introduces VI-VS, a framework for identifying conditionally dependent features in multiomic data while controlling false discovery rates.

This paper introduces a statistical framework for GWAS that controls false discovery rate while accounting for population structure and relatedness, validated through simulations and UK Biobank data.

KnockoffZoom identifies causal variants for complex traits at multiple resolutions using artificial genotypes and linkage disequilibrium models, outperforming mixed effects models in the UK Biobank.