Aik Choon Tan

LabWeaver improves agentic data analysis by organizing experimental context around laboratories, enhancing reliability in single-cell RNA-seq analysis of synovial sarcoma.

This study identifies risk factors and patterns of immune-related adverse events (irAEs) in patients receiving immune checkpoint inhibitors using real-world data.

The paper investigates the role of RNA splicing factors in abscission checkpoint maintenance and identifies a unique RNA landscape associated with ACB formation.

This study examines epigenetic, microbiome, and immune differences in early-onset colorectal cancer (EOCRC) compared to average-onset CRC, finding accelerated epigenetic aging and stronger immune-microbe correlations in EOCRC.

This study identifies obesity-driven inflammatory and metabolic transcriptomic signatures in mouse and human colon tumors through integrated transcriptomic analyses.

The paper introduces MEGA, a tool to identify cancer-associated microbes using RNA-seq data from the ORIEN dataset, leveraging graph attention networks and microbial community information.

The paper introduces a method to identify differential super enhancers by considering internal dynamics, revealing novel structural alterations with distinct regulatory impacts and improving identification compared to existing methods.

GSEA-InContext identifies common and experiment-specific gene set enrichment patterns by comparing an experiment to a background compendium of transcriptomic data.