This project explores how immune activation, checkpoint suppression, and T-cell exhaustion shape tumour behavior and survival outcomes in lung adenocarcinoma using TCGA-LUAD transcriptomic data. By integrating immune-related gene expression into composite immune balance models, the analysis identifies distinct tumour microenvironment states.

Targeted long-read transcriptomic profiling pipeline for FFPE tumor samples using Oxford Nanopore sequencing.

End-to-end single-cell RNA-seq immune cell profiling pipeline in Python (scanpy, PBMC 3k)