Rui Xiao

The paper characterizes the clinical progression of SLSMDS by analyzing electronic health records and identifies key genetic and clinical features associated with disease evolution.

MuSiC2 improves cell type proportion estimation in bulk RNA-seq data from different clinical conditions using an iterative method, outperforming traditional approaches.

This paper introduces BSCET, a method that detects cell-type-specific allelic expression imbalance using bulk RNA-seq data integrated with scRNA-seq-derived cell-type information, identifying genes related to type 2 diabetes progression.

ASEP detects gene-level allele-specific expression in populations using RNA-seq, identifying differential ASE between conditions and extending findings to cardiometabolic traits.