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 examines how hypoxia affects the tumor microbiome and its interaction with radiation response in colorectal cancer using RNA-seq data and experimental models.

This study identifies SASH1 as a regulator of melanocyte stem cell maintenance, showing that the S519N variant disrupts its function and links to pigmentation disorders.

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.