Mai Chan Lau

Spatial patterns of APOBEC mutagenesis in the tumour microenvironment of Asian breast cancer

This study investigates how APOBEC mutagenesis and A3B deletion affect immune activation in Asian breast cancer using spatial transcriptomics, finding that mitochondrial mutations and cGAS-STING pathway activation drive immune responses instead of neoantigens.

A Domain-Specific Language Model Approach for Identifying Immunogenic Epitopes from Publicly Available Data: EpitopeMiner

EpitopeMiner identifies immunogenic epitopes using a domain-specific LLM with RAG, improving retrieval of relevant literature and supporting neoantigen validation.

Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with PRECAST

PRECAST integrates spatial transcriptomics data from multiple sources, improving cell and domain detection through probabilistic embedding, clustering, and alignment.

SC-MEB: spatial clustering with hidden Markov random field using empirical Bayes

SC-MEB is a spatial clustering method for transcriptomics data that outperforms existing methods in clustering performance and scalability.