Yiling Elaine Chen

This paper introduces a sequencing-based spatial transcriptomics system with sub-cellular resolution and significantly improved capture efficiency compared to existing methods.

APIR aggregates database search algorithms for proteomics to increase peptide identification while controlling FDR, outperforming individual methods on standard and real data.

Clipper provides a p-value-free FDR control method for high-throughput data from two conditions, outperforming existing approaches without relying on p-values or distributional assumptions.

The paper identifies an atlas of 3QTLs associated with alternative polyadenylation across 46 tissues, showing they explain 16.1% of trait-associated variants and contribute to disease independently of gene expression.

DORGE identifies cancer driver genes by integrating genetic and epigenetic data, finding histone modifications predict TSGs and missense mutations predict OGs.