Jian‐Guo Zhou

SigBridgeR benchmarks phenotype-associated cell subpopulations across four cancer types using eight algorithms, providing standardized workflows and visualization tools for reproducible analysis.

The paper introduces faers, an R/Bioconductor package that standardizes and automates FAERS data processing and signal detection for drug safety surveillance.

ggalign provides a flexible R package for creating composable visualizations of complex, multi-dimensional biological data using layout options and annotation features.

This study integrates multi-omics data from NSCLC cohorts to identify molecular subtypes, revealing immune-activated and immunosuppressive subtypes with distinct prognostic implications.

ImmunoFusion integrates RNA-seq-derived gene fusion data across cancer types with tumor microenvironment and clinical outcomes to identify fusion-driven immunotherapy biomarkers.

TCCIA integrates circRNA profiles, immunotherapy response data, and clinical outcomes to explore circRNA roles in cancer immunotherapy.

The paper develops a DNA replication stress-related prognostic index for HBV-associated HCC using machine learning, identifying therapeutic targets and agents for high-risk patients.