Reproducible Pan-Cancer transcriptomic analysis pipeline evaluating immune cell infiltration (CIBERSORT) and immune checkpoint expression (PD-L1/CTLA-4) across TCGA cohorts.
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Updated
Aug 8, 2026 - Python
Reproducible Pan-Cancer transcriptomic analysis pipeline evaluating immune cell infiltration (CIBERSORT) and immune checkpoint expression (PD-L1/CTLA-4) across TCGA cohorts.
Targeted long-read transcriptomic profiling pipeline for FFPE tumor samples using Oxford Nanopore sequencing.
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.
A reproducible workflow for identifying immune-cell populations and candidate T-cell subtypes from single-cell RNA data.
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