Michelle Chan‐Seng‐Yue

The paper identifies four epithelial transcription states in pancreatic cancer and links their origins to early developmental processes.

This study characterizes morphological classes in pancreatic cancer using transcriptomic, genomic, and clinical data to identify molecular associations and prognostic implications.

This study analyzes ctDNA shedding in pancreatic cancer using paired tissue and plasma whole genomes, finding that subclones contribute significantly to early dissemination and ctDNA levels.

This study shows that hematopoietic Tet2 inactivation improves immune checkpoint blockade response in mice and is associated with better clinical outcomes in melanoma patients with TET2-driven clonal hematopoiesis.

This study integrates spatial proteomics and genomics in PDAC to identify tumour-immune-stroma interactions and their genomic associations, showing multi-omics models improve patient survival prediction.

This study uses scRNA-seq to analyze B-ALL samples, revealing transcriptional heterogeneity and developmental origins, with specific subtypes associated with distinct cell populations and clinical outcomes.

This study uses whole-genome sequencing to identify regulatory and novel genic variants contributing to childhood cardiomyopathy.

BPG is an R package that generates publication-quality, customizable plots and offers an interactive web tool for figure customization and integration with computational pipelines.