Siyuan Chen

The paper integrates proteomics data from Olink and SomaScan to identify pQTLs and develop a resource for transcriptome and proteome-wide association studies, with applications to inflammatory bowel disease.

This study shows miR-486-3p improves angiogenesis in Moyamoya disease by targeting FOXO4 to reduce senescence-associated secretory phenotype.

The paper introduces the Effector Index, an algorithm to predict causal genes at GWAS loci using genomic features, achieving 85% AUC in type 2 diabetes validation.

The paper introduces RoLiM, an algorithm for detecting protease activities in peptide data, identifying known and novel cleavage patterns in cancer and viral contexts.

This study identifies conserved RNA-binding motifs in coronavirus nucleocapsid proteins that enable broad-spectrum antiviral drug development.

The paper introduces a penalized logistic regression method using log-F priors to reduce bias in genetic association studies with binary phenotypes, showing lower bias and mean squared error in simulations.