Chunwen Zhao

This study develops a hidden causality method to infer dynamic lncRNA regulation in ASD, revealing key lncRNAs and their roles in disease pathogenesis and neuroimmune interactions.

Cycle identifies cell type-specific lncRNA regulatory networks in ASD, revealing rewired and conserved modules and hubs associated with ASD-related functions.

The paper introduces Scan, a framework that infers sample-specific miRNA regulation from bulk and single-cell RNA-sequencing data using multiple network inference methods.

This paper introduces SCOM, a framework to identify ncRNA synergistic competition across cancers, revealing hub ncRNAs and potential biomarkers for diagnosis and prognosis.

The paper introduces CSmiR, a method to identify cell-specific miRNA-mRNA regulatory networks using single-cell co-sequencing data, revealing unique miRNA regulation in individual cells.

LMSM identifies lncRNA-related miRNA sponge modules in breast cancer using heterogeneous data, finding subtype-specific modules and improved classification performance over baselines.

miRspongeR is an R/Bioconductor package that identifies and analyzes miRNA sponge interaction networks and modules using seven methods and an integrative approach.