Ruofan Ding

MAAS integrates multimodal scATAC-seq data to identify clinically relevant tumor subpopulations and improve prognostic prediction.

eRNA-IDO identifies enhancer RNAs, discovers their interactomes, and annotates their functions using a computational platform.

The paper constructs a database of N-phosphorylation sites and develops a predictor achieving high accuracy for human N-phosphorylation types.

This study identifies 413 APA-linked cancer susceptibility genes by integrating GWAS data with APA quantification, showing genetic variants associated with APA explain a large portion of cancer heritability.

xQTLbiolinks is a tool for integrative analysis of molecular QTLs, enabling retrieval, preprocessing, and colocalization with GWAS data to identify disease-risk genes.